{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,28]],"date-time":"2025-06-28T04:05:55Z","timestamp":1751083555589,"version":"3.41.0"},"reference-count":138,"publisher":"Elsevier BV","issue":"4","license":[{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,3,20]],"date-time":"2025-03-20T00:00:00Z","timestamp":1742428800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000156","name":"Quebec Health Research Fund","doi-asserted-by":"publisher","award":["295299"],"award-info":[{"award-number":["295299"]}],"id":[{"id":"10.13039\/501100000156","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000024","name":"Canadian Institutes of Health Research","doi-asserted-by":"publisher","award":["FRQS 295298","PJT-180505"],"award-info":[{"award-number":["FRQS 295298","PJT-180505"]}],"id":[{"id":"10.13039\/501100000024","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000038","name":"Natural Sciences and Engineering Research Council of Canada","doi-asserted-by":"publisher","award":["RGPIN2022-04399"],"award-info":[{"award-number":["RGPIN2022-04399"]}],"id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["cell.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Cell Reports Methods"],"published-print":{"date-parts":[[2025,4]]},"DOI":"10.1016\/j.crmeth.2025.101022","type":"journal-article","created":{"date-parts":[[2025,4,10]],"date-time":"2025-04-10T15:11:15Z","timestamp":1744297875000},"page":"101022","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"title":["Efficient and scalable construction of clinical variable networks for complex diseases with RAMEN"],"prefix":"10.1016","volume":"5","author":[{"given":"Yiwei","family":"Xiong","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingtao","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoxiao","family":"Shang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tingting","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Douglas D.","family":"Fraser","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gregory J.","family":"Fonseca","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Simon","family":"Rousseau","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5183-6885","authenticated-orcid":false,"given":"Jun","family":"Ding","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.crmeth.2025.101022_bib1","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1016\/j.spc.2020.10.016","article-title":"Impact of COVID-19 on the social, economic, environmental and energy domains: Lessons learnt from a global pandemic","volume":"26","author":"Mofijur","year":"2021","journal-title":"Sustain. Prod. Consum."},{"key":"10.1016\/j.crmeth.2025.101022_bib2","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/j.ijsu.2020.04.018","article-title":"The socio-economic implications of the coronavirus pandemic (COVID-19): A review","volume":"78","author":"Nicola","year":"2020","journal-title":"Int. J. Surg."},{"key":"10.1016\/j.crmeth.2025.101022_bib3","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pcbi.1008810","article-title":"A network-informed analysis of SARS-CoV-2 and hemophagocytic lymphohistiocytosis genes\u2019 interactions points to neutrophil extracellular traps as mediators of thrombosis in COVID-19","volume":"17","author":"Ding","year":"2021","journal-title":"PLoS Comput. Biol."},{"key":"10.1016\/j.crmeth.2025.101022_bib4","doi-asserted-by":"crossref","DOI":"10.1001\/jamanetworkopen.2021.0830","article-title":"Sequelae in adults at 6\u00a0months after COVID-19 infection","volume":"4","author":"Logue","year":"2021","journal-title":"JAMA Netw. Open"},{"key":"10.1016\/j.crmeth.2025.101022_bib5","doi-asserted-by":"crossref","first-page":"869","DOI":"10.1016\/j.dsx.2021.04.007","article-title":"Long COVID: an overview","volume":"15","author":"Raveendran","year":"2021","journal-title":"Diabetes Metab. Syndr."},{"key":"10.1016\/j.crmeth.2025.101022_bib6","doi-asserted-by":"crossref","first-page":"D13","DOI":"10.1093\/nar\/gkr1184","article-title":"Database resources of the national center for biotechnology information","volume":"40","author":"Sayers","year":"2012","journal-title":"Nucleic Acids Res."},{"key":"10.1016\/j.crmeth.2025.101022_bib7","doi-asserted-by":"crossref","first-page":"800","DOI":"10.1093\/bib\/bbaa331","article-title":"How do we share data in COVID-19 research? A systematic review of COVID-19 datasets in PubMed Central Articles","volume":"22","author":"Zuo","year":"2021","journal-title":"Brief. Bioinform."},{"key":"10.1016\/j.crmeth.2025.101022_bib8","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0245031","article-title":"The Biobanque qu\u00e9b\u00e9coise de la COVID-19 (BQC19)\u2014a cohort to prospectively study the clinical and biological determinants of COVID-19 clinical trajectories","volume":"16","author":"Tremblay","year":"2021","journal-title":"PLoS One"},{"key":"10.1016\/j.crmeth.2025.101022_bib9","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1186\/s10020-023-00610-z","article-title":"Organ and cell-specific biomarkers of long-COVID identified with targeted proteomics and machine learning","volume":"29","author":"Patel","year":"2023","journal-title":"Mol. Med."},{"key":"10.1016\/j.crmeth.2025.101022_bib10","doi-asserted-by":"crossref","DOI":"10.1038\/sdata.2016.35","article-title":"MIMIC-III, a freely accessible critical care database","volume":"3","author":"Johnson","year":"2016","journal-title":"Sci. Data"},{"key":"10.1016\/j.crmeth.2025.101022_bib11","doi-asserted-by":"crossref","first-page":"125","DOI":"10.3109\/15412555.2012.665520","article-title":"Canadian cohort obstructive lung disease (CanCOLD): fulfilling the need for longitudinal observational studies in COPD","volume":"11","author":"Bourbeau","year":"2014","journal-title":"COPD"},{"key":"10.1016\/j.crmeth.2025.101022_bib12","doi-asserted-by":"crossref","DOI":"10.1136\/bmjopen-2021-049066","article-title":"Variables associated with COVID-19 severity: an observational study of non-paediatric confirmed cases from the general population of the Basque Country, Spain","volume":"11","author":"Vrotsou","year":"2021","journal-title":"BMJ Open"},{"key":"10.1016\/j.crmeth.2025.101022_bib13","article-title":"Clinical determinants of the severity of COVID-19: A systematic review and meta-analysis","volume":"16","author":"Li","year":"2021","journal-title":"PLoS One"},{"key":"10.1016\/j.crmeth.2025.101022_bib14","doi-asserted-by":"crossref","DOI":"10.3389\/fimmu.2021.689966","article-title":"Redefining COVID-19 severity and prognosis: the role of clinical and immunobiotypes","volume":"12","author":"Torres-Ruiz","year":"2021","journal-title":"Front. Immunol."},{"key":"10.1016\/j.crmeth.2025.101022_bib15","doi-asserted-by":"crossref","first-page":"5026","DOI":"10.3390\/ijerph17145026","article-title":"Correlations of clinical and laboratory characteristics of COVID-19: a systematic review and meta-analysis","volume":"17","author":"Ghayda","year":"2020","journal-title":"Int. J. Environ. Res. Public Health"},{"key":"10.1016\/j.crmeth.2025.101022_bib16","doi-asserted-by":"crossref","first-page":"379","DOI":"10.1002\/j.1538-7305.1948.tb01338.x","article-title":"A mathematical theory of communication","volume":"27","author":"Shannon","year":"1948","journal-title":"The Bell System Technical Journal"},{"key":"10.1016\/j.crmeth.2025.101022_bib17","series-title":"Proceedings of the 7th Conference of the Cognitive Science Society","first-page":"15","article-title":"Bayesian networks: A model of self-activated memory for evidential reasoning","author":"Pearl","year":"1985"},{"year":"1988","series-title":"Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference","author":"Pearl","key":"10.1016\/j.crmeth.2025.101022_bib18"},{"year":"2009","series-title":"Probabilistic Graphical Models: Principles and Techniques","author":"Koller","key":"10.1016\/j.crmeth.2025.101022_bib19"},{"key":"10.1016\/j.crmeth.2025.101022_bib20","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1055\/s-0038-1634867","article-title":"Toward normative expert systems: Part I the pathfinder project","volume":"31","author":"Heckerman","year":"1992","journal-title":"Methods Inf. Med."},{"key":"10.1016\/j.crmeth.2025.101022_bib21","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1055\/s-0038-1634868","article-title":"Toward normative expert systems: Part II probability-based representations for efficient knowledge acquisition and inference","volume":"31","author":"Heckerman","year":"1992","journal-title":"Methods Inf. Med."},{"key":"10.1016\/j.crmeth.2025.101022_bib22","article-title":"Estimating continuous distributions in Bayesian classifiers","author":"John","year":"2013","journal-title":"arXiv"},{"key":"10.1016\/j.crmeth.2025.101022_bib23","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1145\/507338.507355","article-title":"Data mining: practical machine learning tools and techniques with java implementations","volume":"31","author":"Witten","year":"2002","journal-title":"SIGMOD Rec."},{"key":"10.1016\/j.crmeth.2025.101022_bib24","doi-asserted-by":"crossref","first-page":"191","DOI":"10.2307\/2347628","article-title":"Ridge estimators in logistic regression","volume":"41","author":"Cessie","year":"1992","journal-title":"Appl. Stat."},{"key":"10.1016\/j.crmeth.2025.101022_bib25","series-title":"Machine Learning Proceedings 1995","first-page":"304","article-title":"Automatic parameter selection by minimizing estimated error","author":"Kohavi","year":"1995"},{"key":"10.1016\/j.crmeth.2025.101022_bib26","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1006\/jcss.1997.1504","article-title":"A decision-theoretic generalization of on-line learning and an application to boosting","volume":"55","author":"Freund","year":"1997","journal-title":"J.\u00a0Comput. Syst. Sci."},{"year":"2014","series-title":"C4.5: Programs for Machine Learning","author":"Quinlan","key":"10.1016\/j.crmeth.2025.101022_bib27"},{"key":"10.1016\/j.crmeth.2025.101022_bib28","doi-asserted-by":"crossref","first-page":"425","DOI":"10.1007\/s13748-019-00194-y","article-title":"A survey on Bayesian network structure learning from data","volume":"8","author":"Scanagatta","year":"2019","journal-title":"Prog. Artif. Intell."},{"key":"10.1016\/j.crmeth.2025.101022_bib29","series-title":"Learning from Data: Artificial Intelligence and Statistics V","first-page":"121","article-title":"Learning Bayesian networks is NP-complete","author":"Chickering","year":"1996"},{"key":"10.1016\/j.crmeth.2025.101022_bib30","article-title":"The computational limits of deep learning","author":"Thompson","year":"2020","journal-title":"arXiv"},{"key":"10.1016\/j.crmeth.2025.101022_bib31","series-title":"Proceedings of the IEEE International Conference on Computer Vision","first-page":"843","article-title":"Revisiting unreasonable effectiveness of data in deep learning era","author":"Sun","year":"2017"},{"key":"10.1016\/j.crmeth.2025.101022_bib32","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1186\/s40537-021-00492-0","article-title":"Text data augmentation for deep learning","volume":"8","author":"Shorten","year":"2021","journal-title":"J.\u00a0Big Data"},{"key":"10.1016\/j.crmeth.2025.101022_bib33","doi-asserted-by":"crossref","first-page":"6951","DOI":"10.1038\/s41598-018-24758-5","article-title":"Applications of Bayesian network models in predicting types of hematological malignancies","volume":"8","author":"Agrahari","year":"2018","journal-title":"Sci. Rep."},{"key":"10.1016\/j.crmeth.2025.101022_bib34","series-title":"Proceedings of the Fourth Annual International Conference on Computational Molecular Biology","first-page":"601","article-title":"Using Bayesian networks to analyze expression data","author":"Friedman","year":"2000"},{"key":"10.1016\/j.crmeth.2025.101022_bib35","doi-asserted-by":"crossref","first-page":"1233","DOI":"10.1061\/(ASCE)0733-9445(1992)118:5(1233)","article-title":"Discrete optimization of structures using genetic algorithms","volume":"118","author":"Rajeev","year":"1992","journal-title":"J.\u00a0Struct. Eng."},{"key":"10.1016\/j.crmeth.2025.101022_bib36","article-title":"Qualities, challenges and future of genetic algorithms: a literature review","author":"Vie","year":"2020","journal-title":"arXiv"},{"key":"10.1016\/j.crmeth.2025.101022_bib37","series-title":"International Conference on Tools and Algorithms for the Construction and Analysis of Systems","first-page":"266","article-title":"Exploring very large state spaces using genetic algorithms","author":"Godefroid","year":"2002"},{"key":"10.1016\/j.crmeth.2025.101022_bib38","series-title":"Multi-Objective Evolutionary Optimisation for Product Design and Manufacturing","first-page":"3","article-title":"Multi-objective optimisation using evolutionary algorithms: an introduction","author":"Deb","year":"2011"},{"key":"10.1016\/j.crmeth.2025.101022_bib39","doi-asserted-by":"crossref","first-page":"1923","DOI":"10.1007\/s00521-020-05035-x","article-title":"An efficient optimization approach for designing machine learning models based on genetic algorithm","volume":"33","author":"Hamdia","year":"2021","journal-title":"Neural Comput. Appl."},{"key":"10.1016\/j.crmeth.2025.101022_bib40","doi-asserted-by":"crossref","first-page":"744","DOI":"10.3390\/app11020744","article-title":"Genetic algorithm based deep learning neural network structure and hyperparameter optimization","volume":"11","author":"Lee","year":"2021","journal-title":"Appl. Sci."},{"key":"10.1016\/j.crmeth.2025.101022_bib41","doi-asserted-by":"crossref","DOI":"10.1016\/j.heliyon.2020.e05684","article-title":"Impact of age, sex, comorbidities and clinical symptoms on the severity of COVID-19 cases: A meta-analysis with 55 studies and 10014 cases","volume":"6","author":"Barek","year":"2020","journal-title":"Heliyon"},{"key":"10.1016\/j.crmeth.2025.101022_bib42","doi-asserted-by":"crossref","first-page":"2511","DOI":"10.3390\/jcm9082511","article-title":"COVID-19 and obesity: dangerous liaisons","volume":"9","author":"Caci","year":"2020","journal-title":"J.\u00a0Clin. Med."},{"key":"10.1016\/j.crmeth.2025.101022_bib43","doi-asserted-by":"crossref","DOI":"10.1111\/obr.13089","article-title":"Effect of obesity and body mass index on coronavirus disease 2019 severity: a systematic review and meta-analysis","volume":"21","author":"Chang","year":"2020","journal-title":"Obes. Rev."},{"key":"10.1016\/j.crmeth.2025.101022_bib44","doi-asserted-by":"crossref","DOI":"10.1183\/13993003.01148-2020","article-title":"Arterial hypertension and the risk of severity and mortality of COVID-19","volume":"55","author":"Leiva Sisnieguez","year":"2020","journal-title":"Eur. Respir. J."},{"key":"10.1016\/j.crmeth.2025.101022_bib45","doi-asserted-by":"crossref","first-page":"711","DOI":"10.1007\/s12072-020-10071-9","article-title":"Coronavirus disease (COVID-19) and the liver: a comprehensive systematic review and meta-analysis","volume":"14","author":"Kumar-M","year":"2020","journal-title":"Hepatol. Int."},{"key":"10.1016\/j.crmeth.2025.101022_bib46","doi-asserted-by":"crossref","first-page":"2409","DOI":"10.1002\/jmv.26097","article-title":"Elevated level of c-reactive protein may be an early marker to predict risk for severity of COVID-19","volume":"92","author":"Ali","year":"2020","journal-title":"J.\u00a0Med. Virol."},{"key":"10.1016\/j.crmeth.2025.101022_bib47","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1007\/s10238-021-00686-z","article-title":"Serum albumin concentrations are associated with disease severity and outcomes in coronavirus 19 disease (COVID-19): a systematic review and meta-analysis","volume":"21","author":"Paliogiannis","year":"2021","journal-title":"Clin. Exp. Med."},{"key":"10.1016\/j.crmeth.2025.101022_bib48","series-title":"2020 33rd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)","first-page":"340","article-title":"From explanations to feature selection: assessing SHAP values as feature selection mechanism","author":"Marc\u00edlio","year":"2020"},{"key":"10.1016\/j.crmeth.2025.101022_bib49","first-page":"4765","article-title":"A unified approach to interpreting model predictions","volume":"30","author":"Lundberg","year":"2017"},{"key":"10.1016\/j.crmeth.2025.101022_bib50","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijar.2023.109112","article-title":"On the failings of Shapley values for explainability","volume":"171","author":"Huang","year":"2024","journal-title":"Int. J. Approx. Reason."},{"key":"10.1016\/j.crmeth.2025.101022_bib51","article-title":"From shap scores to feature importance scores","author":"Letoffe","year":"2024","journal-title":"arXiv"},{"key":"10.1016\/j.crmeth.2025.101022_bib52","doi-asserted-by":"crossref","first-page":"2942","DOI":"10.3390\/jcm9092942","article-title":"Neutrophil extracellular traps and by-products play a key role in COVID-19: pathogenesis, risk factors, and therapy","volume":"9","author":"Thierry","year":"2020","journal-title":"J.\u00a0Clin. Med."},{"key":"10.1016\/j.crmeth.2025.101022_bib53","doi-asserted-by":"crossref","first-page":"461","DOI":"10.1159\/000521594","article-title":"Impaired degradation of neutrophil extracellular traps: a possible severity factor of elderly male COVID-19 patients","volume":"14","author":"de Buhr","year":"2022","journal-title":"J.\u00a0Innate Immun."},{"key":"10.1016\/j.crmeth.2025.101022_bib54","doi-asserted-by":"crossref","first-page":"1671","DOI":"10.1016\/j.cell.2021.02.029","article-title":"COVID-19 and the human innate immune system","volume":"184","author":"Schultze","year":"2021","journal-title":"Cell"},{"key":"10.1016\/j.crmeth.2025.101022_bib55","doi-asserted-by":"crossref","first-page":"780","DOI":"10.1021\/acsptsci.0c00059","article-title":"The potential of antimicrobial peptides as an antiviral therapy against COVID-19","volume":"3","author":"Elnagdy","year":"2020","journal-title":"ACS Pharmacol. Transl. Sci."},{"key":"10.1016\/j.crmeth.2025.101022_bib56","doi-asserted-by":"crossref","first-page":"540","DOI":"10.3390\/antiox9060540","article-title":"Targeting the heme-heme oxygenase system to prevent severe complications following COVID-19 infections","volume":"9","author":"Wagener","year":"2020","journal-title":"Antioxidants"},{"key":"10.1016\/j.crmeth.2025.101022_bib57","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1007\/s12185-020-03029-y","article-title":"COVID-19-associated coagulopathy and disseminated intravascular coagulation","volume":"113","author":"Asakura","year":"2021","journal-title":"Int. J. Hematol."},{"key":"10.1016\/j.crmeth.2025.101022_bib58","doi-asserted-by":"crossref","first-page":"1089","DOI":"10.1007\/s00134-020-06062-x","article-title":"High risk of thrombosis in patients with severe SARS-CoV-2 infection: a multicenter prospective cohort study","volume":"46","author":"Helms","year":"2020","journal-title":"Intensive Care Med."},{"key":"10.1016\/j.crmeth.2025.101022_bib59","doi-asserted-by":"crossref","DOI":"10.1084\/jem.20200652","article-title":"Targeting potential drivers of COVID-19: Neutrophil extracellular traps","volume":"217","author":"Barnes","year":"2020","journal-title":"J.\u00a0Exp. Med."},{"key":"10.1016\/j.crmeth.2025.101022_bib60","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1038\/s41577-021-00536-9","article-title":"Endothelial dysfunction and immunothrombosis as key pathogenic mechanisms in COVID-19","volume":"21","author":"Bonaventura","year":"2021","journal-title":"Nat. Rev. Immunol."},{"key":"10.1016\/j.crmeth.2025.101022_bib61","doi-asserted-by":"crossref","first-page":"469","DOI":"10.1001\/jamacardio.2020.7308","article-title":"Assessment of neutrophil extracellular traps in coronary thrombus of a case series of patients with COVID-19 and myocardial infarction","volume":"6","author":"Blasco","year":"2021","journal-title":"JAMA Cardiol."},{"key":"10.1016\/j.crmeth.2025.101022_bib62","doi-asserted-by":"crossref","first-page":"919","DOI":"10.1111\/jth.15646","article-title":"Impact of COVID-19 on thrombus composition and response to thrombolysis: insights from a monocentric cohort population of COVID-19 patients with acute ischemic stroke","volume":"20","author":"Desilles","year":"2022","journal-title":"J.\u00a0Thromb. Haemost."},{"key":"10.1016\/j.crmeth.2025.101022_bib63","doi-asserted-by":"crossref","DOI":"10.1016\/j.ebiom.2021.103382","article-title":"Defective net clearance contributes to sustained FXII activation in COVID-19-associated pulmonary thrombo-inflammation","volume":"67","author":"Englert","year":"2021","journal-title":"EBioMedicine"},{"key":"10.1016\/j.crmeth.2025.101022_bib64","doi-asserted-by":"crossref","DOI":"10.1016\/j.ebiom.2020.102925","article-title":"Vascular occlusion by neutrophil extracellular traps in COVID-19","volume":"58","author":"Leppkes","year":"2020","journal-title":"EBioMedicine"},{"key":"10.1016\/j.crmeth.2025.101022_bib65","doi-asserted-by":"crossref","first-page":"1169","DOI":"10.1182\/blood.2020007008","article-title":"Neutrophil extracellular traps contribute to immunothrombosis in COVID-19 acute respiratory distress syndrome","volume":"136","author":"Middleton","year":"2020","journal-title":"Blood"},{"key":"10.1016\/j.crmeth.2025.101022_bib66","doi-asserted-by":"crossref","DOI":"10.1155\/2021\/5566826","article-title":"Neutrophil extracellular traps in fatal COVID-19-associated lung injury","volume":"2021","author":"Obermayer","year":"2021","journal-title":"Dis. Markers"},{"key":"10.1016\/j.crmeth.2025.101022_bib67","doi-asserted-by":"crossref","first-page":"1512","DOI":"10.1093\/infdis\/jiab050","article-title":"High levels of neutrophil extracellular traps persist in the lower respiratory tract of critically ill patients with coronavirus disease 2019","volume":"223","author":"Ouwendijk","year":"2021","journal-title":"J.\u00a0Infect. Dis."},{"key":"10.1016\/j.crmeth.2025.101022_bib68","doi-asserted-by":"crossref","first-page":"933","DOI":"10.1093\/infdis\/jiaa756","article-title":"Association of neutrophil activation, more than platelet activation, with thrombotic complications in coronavirus disease 2019","volume":"223","author":"Petito","year":"2021","journal-title":"J.\u00a0Infect. Dis."},{"key":"10.1016\/j.crmeth.2025.101022_bib69","doi-asserted-by":"crossref","first-page":"6151","DOI":"10.1172\/JCI141374","article-title":"Complement and tissue factor\u2013enriched neutrophil extracellular traps are key drivers in COVID-19 immunothrombosis","volume":"130","author":"Skendros","year":"2020","journal-title":"JCI (J. Clin. Investig.)"},{"key":"10.1016\/j.crmeth.2025.101022_bib70","doi-asserted-by":"crossref","first-page":"582.e1","DOI":"10.1016\/j.amjmed.2008.11.032","article-title":"C-reactive protein elicits white blood cell activation in humans","volume":"122","author":"Bisoendial","year":"2009","journal-title":"Am. J. Med."},{"key":"10.1016\/j.crmeth.2025.101022_bib71","doi-asserted-by":"crossref","first-page":"448","DOI":"10.1056\/NEJM199902113400607","article-title":"Acute-phase proteins and other systemic responses to inflammation","volume":"340","author":"Gabay","year":"1999","journal-title":"N.\u00a0Engl. J. Med."},{"key":"10.1016\/j.crmeth.2025.101022_bib72","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1111\/ijlh.13314","article-title":"C-reactive protein-induced activated partial thromboplastin time prolongation in heparinized samples is attenuated by elevated factor VIII","volume":"43","author":"Kostousov","year":"2021","journal-title":"Int. J. Lab. Hematol."},{"key":"10.1016\/j.crmeth.2025.101022_bib73","doi-asserted-by":"crossref","first-page":"e16","DOI":"10.1016\/j.jinf.2020.04.021","article-title":"Risk factors of critical\u00a0& mortal COVID-19 cases: A systematic literature review and meta-analysis","volume":"81","author":"Zheng","year":"2020","journal-title":"J.\u00a0Infect."},{"key":"10.1016\/j.crmeth.2025.101022_bib74","doi-asserted-by":"crossref","first-page":"188","DOI":"10.1186\/s13054-020-02895-6","article-title":"Clinical course and outcome of 107 patients infected with the novel coronavirus, SARS-CoV-2, discharged from two hospitals in Wuhan, China","volume":"24","author":"Wang","year":"2020","journal-title":"Crit. Care"},{"key":"10.1016\/j.crmeth.2025.101022_bib75","doi-asserted-by":"crossref","first-page":"1032","DOI":"10.1097\/CM9.0000000000000775","article-title":"Analysis of factors associated with disease outcomes in hospitalized patients with 2019 novel coronavirus disease","volume":"133","author":"Liu","year":"2020","journal-title":"Chin. Med. J. (Taipei)"},{"key":"10.1016\/j.crmeth.2025.101022_bib76","doi-asserted-by":"crossref","first-page":"796","DOI":"10.1001\/jamainternmed.2022.2141","article-title":"Association of kidney comorbidities and acute kidney failure with unfavorable outcomes after COVID-19 in individuals with the sickle cell trait","volume":"182","author":"Verma","year":"2022","journal-title":"JAMA Intern. Med."},{"key":"10.1016\/j.crmeth.2025.101022_bib77","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1093\/ajh\/1.2.124","article-title":"A longitudinal study of urinary creatinine and creatinine clearance in normal subjects: race, sex, and age differences","volume":"1","author":"James","year":"1988","journal-title":"Am. J. Hypertens."},{"key":"10.1016\/j.crmeth.2025.101022_bib78","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1186\/s13293-022-00440-4","article-title":"Sex differences in the human metabolome","volume":"13","author":"Costanzo","year":"2022","journal-title":"Biol. Sex Differ."},{"key":"10.1016\/j.crmeth.2025.101022_bib79","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1016\/j.ahj.2014.11.019","article-title":"Prognostic significance of serum creatinine and its change patterns in patients with acute coronary syndromes","volume":"169","author":"Marenzi","year":"2015","journal-title":"Am. Heart J."},{"key":"10.1016\/j.crmeth.2025.101022_bib80","doi-asserted-by":"crossref","first-page":"1003","DOI":"10.1136\/heart.89.9.1003","article-title":"Creatinine clearance and adverse hospital outcomes in patients with acute coronary syndromes: findings from the global registry of acute coronary events (GRACE)","volume":"89","author":"Santopinto","year":"2003","journal-title":"Heart"},{"key":"10.1016\/j.crmeth.2025.101022_bib81","doi-asserted-by":"crossref","first-page":"626","DOI":"10.1038\/s41591-021-01292-y","article-title":"Attributes and predictors of long COVID","volume":"27","author":"Sudre","year":"2021","journal-title":"Nat. Med."},{"key":"10.1016\/j.crmeth.2025.101022_bib82","doi-asserted-by":"crossref","first-page":"428","DOI":"10.1177\/01410768211032850","article-title":"Symptoms, complications and management of long COVID: a review","volume":"114","author":"Aiyegbusi","year":"2021","journal-title":"J.\u00a0R. Soc. Med."},{"key":"10.1016\/j.crmeth.2025.101022_bib83","doi-asserted-by":"crossref","first-page":"2851","DOI":"10.1681\/ASN.2021060734","article-title":"Kidney outcomes in long COVID","volume":"32","author":"Bowe","year":"2021","journal-title":"J.\u00a0Am. Soc. Nephrol."},{"key":"10.1016\/j.crmeth.2025.101022_bib84","article-title":"Long COVID headache","volume":"23","author":"Tana","year":"2022","journal-title":"J.\u00a0Headache Pain"},{"key":"10.1016\/j.crmeth.2025.101022_bib85","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1016\/j.htct.2020.03.001","article-title":"Hemoglobin value may be decreased in patients with severe coronavirus disease 2019","volume":"42","author":"Lippi","year":"2020","journal-title":"Hematol. Transfus. Cell Ther."},{"key":"10.1016\/j.crmeth.2025.101022_bib86","doi-asserted-by":"crossref","first-page":"772","DOI":"10.1002\/cyto.a.24172","article-title":"Lymphocyte subset counts in COVID-19 patients: a meta-analysis","volume":"97","author":"Huang","year":"2020","journal-title":"Cytometry. A."},{"key":"10.1016\/j.crmeth.2025.101022_bib87","doi-asserted-by":"crossref","first-page":"4143","DOI":"10.3390\/jcm10184143","article-title":"Association between long COVID and overweight\/obesity","volume":"10","author":"Vimercati","year":"2021","journal-title":"J.\u00a0Clin. Med."},{"key":"10.1016\/j.crmeth.2025.101022_bib88","doi-asserted-by":"crossref","first-page":"1915","DOI":"10.1002\/jmv.25889","article-title":"The impact of COPD and smoking history on the severity of COVID-19: A systemic review and meta-analysis","volume":"92","author":"Zhao","year":"2020","journal-title":"J.\u00a0Med. Virol."},{"key":"10.1016\/j.crmeth.2025.101022_bib89","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1038\/s41584-022-00755-x","article-title":"COVID-19 in people with rheumatic diseases: risks, outcomes, treatment considerations","volume":"18","author":"Grainger","year":"2022","journal-title":"Nat. Rev. Rheumatol."},{"key":"10.1016\/j.crmeth.2025.101022_bib90","doi-asserted-by":"crossref","first-page":"447","DOI":"10.1016\/j.autrev.2016.01.010","article-title":"Impact of obesity on the clinical outcome of rheumatologic patients in biotherapy","volume":"15","author":"Iannone","year":"2016","journal-title":"Autoimmun. Rev."},{"key":"10.1016\/j.crmeth.2025.101022_bib91","doi-asserted-by":"crossref","DOI":"10.1111\/eci.13076","article-title":"Causal association between body mass index and risk of rheumatoid arthritis: a mendelian randomization study","volume":"49","author":"Bae","year":"2019","journal-title":"Eur. J. Clin. Invest."},{"key":"10.1016\/j.crmeth.2025.101022_bib92","doi-asserted-by":"crossref","first-page":"2167","DOI":"10.1093\/rheumatology\/keab654","article-title":"The impact of education inequality on rheumatoid arthritis risk is mediated by smoking and body mass index: Mendelian randomization study","volume":"61","author":"Zhao","year":"2022","journal-title":"Rheumatology"},{"key":"10.1016\/j.crmeth.2025.101022_bib93","doi-asserted-by":"crossref","first-page":"786","DOI":"10.1002\/jmv.26300","article-title":"Predictive values of blood urea nitrogen\/creatinine ratio and other routine blood parameters on disease severity and survival of COVID-19 patients","volume":"93","author":"Ok","year":"2021","journal-title":"J.\u00a0Med. Virol."},{"key":"10.1016\/j.crmeth.2025.101022_bib94","doi-asserted-by":"crossref","DOI":"10.12688\/f1000research.26186.1","article-title":"Predictors of COVID-19 severity: a systematic review and meta-analysis","volume":"9","author":"Mudatsir","year":"2020","journal-title":"F1000Res."},{"key":"10.1016\/j.crmeth.2025.101022_bib95","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1016\/j.kint.2020.05.006","article-title":"Acute kidney injury in patients hospitalized with COVID-19","volume":"98","author":"Hirsch","year":"2020","journal-title":"Kidney Int."},{"key":"10.1016\/j.crmeth.2025.101022_bib96","doi-asserted-by":"crossref","first-page":"3139","DOI":"10.1111\/jth.15534","article-title":"Platelets contribute to disease severity in COVID-19","volume":"19","author":"Barrett","year":"2021","journal-title":"J.\u00a0Thromb. Haemost."},{"key":"10.1016\/j.crmeth.2025.101022_bib97","doi-asserted-by":"crossref","DOI":"10.1186\/s40635-020-00361-9","article-title":"Transcriptional profiling of leukocytes in critically ill COVID19 patients: implications for interferon response and coagulation","volume":"8","author":"Gill","year":"2020","journal-title":"Intensive Care Med. Exp."},{"key":"10.1016\/j.crmeth.2025.101022_bib98","doi-asserted-by":"crossref","first-page":"436","DOI":"10.3390\/vaccines9050436","article-title":"Role of inflammatory cytokines in COVID-19 patients: A review on molecular mechanisms, immune functions, immunopathology and immunomodulatory drugs to counter cytokine storm","volume":"9","author":"Rabaan","year":"2021","journal-title":"Vaccines"},{"key":"10.1016\/j.crmeth.2025.101022_bib99","doi-asserted-by":"crossref","DOI":"10.7717\/peerj.9357","article-title":"Host transcriptome-guided drug repurposing for COVID-19 treatment: a meta-analysis based approach","volume":"8","author":"Loganathan","year":"2020","journal-title":"PeerJ"},{"key":"10.1016\/j.crmeth.2025.101022_bib100","doi-asserted-by":"crossref","DOI":"10.3389\/fimmu.2023.1251067","article-title":"The two-stage molecular scenery of sars-cov-2 infection with implications to disease severity: An in-silico quest","volume":"14","author":"Potamias","year":"2023","journal-title":"Front. Immunol."},{"key":"10.1016\/j.crmeth.2025.101022_bib101","doi-asserted-by":"crossref","first-page":"870","DOI":"10.1016\/j.chom.2020.05.008","article-title":"Type I and type III interferons\u2013induction, signaling, evasion, and application to combat COVID-19","volume":"27","author":"Park","year":"2020","journal-title":"Cell Host Microbe"},{"key":"10.1016\/j.crmeth.2025.101022_bib102","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1038\/s41380-021-01309-5","article-title":"The acid sphingomyelinase\/ceramide system in COVID-19","volume":"27","author":"Kornhuber","year":"2022","journal-title":"Mol. Psychiatry"},{"key":"10.1016\/j.crmeth.2025.101022_bib103","doi-asserted-by":"crossref","first-page":"272","DOI":"10.1038\/s41422-020-00455-9","article-title":"Discriminating mild from critical COVID-19 by innate and adaptive immune single-cell profiling of bronchoalveolar lavages","volume":"31","author":"Wauters","year":"2021","journal-title":"Cell Res."},{"key":"10.1016\/j.crmeth.2025.101022_bib104","doi-asserted-by":"crossref","first-page":"587","DOI":"10.1038\/s41586-022-04447-0","article-title":"Human genetic and immunological determinants of critical COVID-19 pneumonia","volume":"603","author":"Zhang","year":"2022","journal-title":"Nature"},{"key":"10.1016\/j.crmeth.2025.101022_bib105","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1186\/s13073-023-01173-8","article-title":"Rare predicted loss-of-function variants of type I IFN immunity genes are associated with life-threatening COVID-19","volume":"15","author":"Matuozzo","year":"2023","journal-title":"Genome Med."},{"key":"10.1016\/j.crmeth.2025.101022_bib106","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-021-03309-5","article-title":"Identification of transcriptional regulatory network associated with response of host epithelial cells to SARS-CoV-2","volume":"11","author":"Su","year":"2021","journal-title":"Sci. Rep."},{"key":"10.1016\/j.crmeth.2025.101022_bib107","doi-asserted-by":"crossref","first-page":"1272","DOI":"10.1161\/CIRCRESAHA.122.321930","article-title":"Platelets and SARS-CoV-2 during COVID-19: Immunity, thrombosis, and beyond","volume":"132","author":"Sciaudone","year":"2023","journal-title":"Circ. Res."},{"key":"10.1016\/j.crmeth.2025.101022_bib108","doi-asserted-by":"crossref","first-page":"2947","DOI":"10.1182\/blood-2016-03-706168","article-title":"Platelets in sepsis: beyond hemostasis","volume":"127","author":"Graham","year":"2016","journal-title":"Blood"},{"key":"10.1016\/j.crmeth.2025.101022_bib109","doi-asserted-by":"crossref","first-page":"3494","DOI":"10.3390\/ijms20143494","article-title":"Platelets are critical key players in sepsis","volume":"20","author":"Vardon-Bounes","year":"2019","journal-title":"Int. J. Mol. Sci."},{"key":"10.1016\/j.crmeth.2025.101022_bib110","doi-asserted-by":"crossref","first-page":"880","DOI":"10.1002\/hep.22090","article-title":"Serum aminotransferase activity and mortality risk in a United States community","volume":"47","author":"Lee","year":"2008","journal-title":"Hepatology"},{"key":"10.1016\/j.crmeth.2025.101022_bib111","doi-asserted-by":"crossref","first-page":"983","DOI":"10.1136\/bmj.38050.593634.63","article-title":"Normal serum aminotransferase concentration and risk of mortality from liver diseases: prospective cohort study","volume":"328","author":"Hyeon","year":"2004","journal-title":"Bmj"},{"key":"10.1016\/j.crmeth.2025.101022_bib112","doi-asserted-by":"crossref","DOI":"10.1186\/s12931-016-0356-1","article-title":"The association of lung function and St. George\u2019s respiratory questionnaire with exacerbations in COPD: a systematic literature review and regression analysis","volume":"17","author":"Martin","year":"2016","journal-title":"Respir. Res."},{"key":"10.1016\/j.crmeth.2025.101022_bib113","first-page":"141","article-title":"St George\u2019s respiratory questionnaire score predicts outcomes in patients with COPD: analysis of individual patient data in the COPD biomarkers qualification consortium database","volume":"4","author":"M\u00fcllerova","year":"2017","journal-title":"Chronic Obstructive Pulmonary Diseases"},{"key":"10.1016\/j.crmeth.2025.101022_bib114","doi-asserted-by":"crossref","first-page":"676","DOI":"10.1164\/rccm.202303-0450OC","article-title":"FEV1\/FVC severity stages for chronic obstructive pulmonary disease","volume":"208","author":"Bhatt","year":"2023","journal-title":"Am. J. Respir. Crit. Care Med."},{"key":"10.1016\/j.crmeth.2025.101022_bib115","doi-asserted-by":"crossref","first-page":"907","DOI":"10.1016\/j.rmed.2011.01.008","article-title":"Lower limit of normal or FEV1\/FVC< 0.70 in diagnosing COPD: an evidence-based review","volume":"105","author":"Hoesein","year":"2011","journal-title":"Respir. Med."},{"key":"10.1016\/j.crmeth.2025.101022_bib116","series-title":"Proceedings of the 14th Python in Science Conference","doi-asserted-by":"crossref","first-page":"6","DOI":"10.25080\/Majora-7b98e3ed-001","article-title":"pgmpy: Probabilistic graphical models using python","author":"Ankan","year":"2015"},{"key":"10.1016\/j.crmeth.2025.101022_bib117","article-title":"Learning Bayesian networks with the bnlearn R package","author":"Scutari","year":"2009","journal-title":"arXiv"},{"key":"10.1016\/j.crmeth.2025.101022_bib118","first-page":"17","article-title":"On the evolution of random graphs","volume":"5","author":"Erdos","year":"1960","journal-title":"Publ. Math. Inst. Hung. Acad. Sci."},{"key":"10.1016\/j.crmeth.2025.101022_bib119","article-title":"Exploring network structure, dynamics, and function using NetworkX","author":"Hagberg","year":"2008","journal-title":"Tech. Rep. Los Alamos National Laboratory (LANL)"},{"key":"10.1016\/j.crmeth.2025.101022_bib120","first-page":"1287","article-title":"Large-sample learning of Bayesian networks is NP-hard","volume":"5","author":"Chickering","year":"2004","journal-title":"J.\u00a0Mach. Learn. Res."},{"key":"10.1016\/j.crmeth.2025.101022_bib134","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1038\/s41592-019-0686-2","article-title":"SciPy 1.0: fundamental algorithms for scientific computing in Python","volume":"17","author":"Virtanen","year":"2020","journal-title":"Nat. Methods"},{"key":"10.1016\/j.crmeth.2025.101022_bib138","series-title":"Machine Learning for Evolution Strategies","first-page":"45","article-title":"Scikit-Learn","author":"Kramer","year":"2016"},{"key":"10.1016\/j.crmeth.2025.101022_bib121","first-page":"543","article-title":"Advances in human proteomics at high scale with the SOMAscan proteomics platform","volume":"29","author":"Gold","year":"2012","journal-title":"N.\u00a0Biotechnol."},{"key":"10.1016\/j.crmeth.2025.101022_bib122","first-page":"518","article-title":"Bayesian structure learning with generative flow networks","volume":"180","author":"Deleu","year":"2022"},{"year":"2010","series-title":"FastQC: a quality control tool for high throughput sequence data","author":"Andrews","key":"10.1016\/j.crmeth.2025.101022_bib123"},{"key":"10.1016\/j.crmeth.2025.101022_bib124","doi-asserted-by":"crossref","first-page":"i884","DOI":"10.1093\/bioinformatics\/bty560","article-title":"fastp: an ultra-fast all-in-one FASTQ preprocessor","volume":"34","author":"Chen","year":"2018","journal-title":"Bioinformatics"},{"key":"10.1016\/j.crmeth.2025.101022_bib125","doi-asserted-by":"crossref","first-page":"907","DOI":"10.1038\/s41587-019-0201-4","article-title":"Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype","volume":"37","author":"Kim","year":"2019","journal-title":"Nat. Biotechnol."},{"key":"10.1016\/j.crmeth.2025.101022_bib126","doi-asserted-by":"crossref","DOI":"10.1093\/gigascience\/giab008","article-title":"Twelve years of SAMtools and BCFtools","volume":"10","author":"Danecek","year":"2021","journal-title":"GigaScience"},{"key":"10.1016\/j.crmeth.2025.101022_bib127","doi-asserted-by":"crossref","first-page":"923","DOI":"10.1093\/bioinformatics\/btt656","article-title":"featureCounts: an efficient general purpose program for assigning sequence reads to genomic features","volume":"30","author":"Liao","year":"2014","journal-title":"Bioinformatics"},{"key":"10.1016\/j.crmeth.2025.101022_bib128","first-page":"10","article-title":"Differential analysis of count data\u2013the DESeq2 package","volume":"15","author":"Love","year":"2014","journal-title":"Genome Biol."},{"key":"10.1016\/j.crmeth.2025.101022_bib129","article-title":"Management of post-acute COVID-19 in primary care","volume":"370","author":"Greenhalgh","year":"2020","journal-title":"BMJ"},{"key":"10.1016\/j.crmeth.2025.101022_bib130","first-page":"2149","article-title":"A scoring function for learning Bayesian networks based on mutual information and conditional independence tests","volume":"7","author":"De Campos","year":"2006","journal-title":"J.\u00a0Mach. Learn. Res."},{"key":"10.1016\/j.crmeth.2025.101022_bib131","doi-asserted-by":"crossref","first-page":"5724","DOI":"10.1038\/s41598-021-84905-3","article-title":"Causal effects in microbiomes using interventional calculus","volume":"11","author":"Sazal","year":"2021","journal-title":"Sci. Rep."},{"key":"10.1016\/j.crmeth.2025.101022_bib132","article-title":"Computationally and statistically efficient learning of causal Bayes nets using path queries","volume":"31","author":"Bello","year":"2018","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.crmeth.2025.101022_bib133","doi-asserted-by":"crossref","first-page":"272","DOI":"10.1158\/1078-0432.CCR-1025-3","article-title":"Identification of genes with differential expression in acquired drug-resistant gastric cancer cells using high-density oligonucleotide microarrays","volume":"10","author":"Kang","year":"2004","journal-title":"Clin. Cancer Res."},{"key":"10.1016\/j.crmeth.2025.101022_bib135","doi-asserted-by":"crossref","first-page":"392","DOI":"10.1186\/1471-2105-8-392","article-title":"Improved human disease candidate gene prioritization using mouse phenotype","volume":"8","author":"Chen","year":"2007","journal-title":"BMC Bioinf."},{"key":"10.1016\/j.crmeth.2025.101022_bib136","doi-asserted-by":"crossref","first-page":"W305","DOI":"10.1093\/nar\/gkp427","article-title":"ToppGene suite for gene list enrichment analysis and candidate gene prioritization","volume":"37","author":"Chen","year":"2009","journal-title":"Nucleic Acids Res."},{"key":"10.1016\/j.crmeth.2025.101022_bib137","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1186\/1471-2105-10-73","article-title":"Disease candidate gene identification and prioritization using protein interaction networks","volume":"10","author":"Chen","year":"2009","journal-title":"BMC Bioinf."}],"container-title":["Cell Reports Methods"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S266723752500058X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S266723752500058X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,6,27]],"date-time":"2025-06-27T11:13:08Z","timestamp":1751022788000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S266723752500058X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4]]},"references-count":138,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2025,4]]}},"alternative-id":["S266723752500058X"],"URL":"https:\/\/doi.org\/10.1016\/j.crmeth.2025.101022","relation":{},"ISSN":["2667-2375"],"issn-type":[{"type":"print","value":"2667-2375"}],"subject":[],"published":{"date-parts":[[2025,4]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Efficient and scalable construction of clinical variable networks for complex diseases with RAMEN","name":"articletitle","label":"Article Title"},{"value":"Cell Reports Methods","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.crmeth.2025.101022","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 The Authors. Published by Elsevier Inc.","name":"copyright","label":"Copyright"}],"article-number":"101022"}}