{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T10:21:21Z","timestamp":1775038881768,"version":"3.50.1"},"reference-count":58,"publisher":"American Chemical Society (ACS)","issue":"4","license":[{"start":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T00:00:00Z","timestamp":1773878400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T00:00:00Z","timestamp":1773878400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T00:00:00Z","timestamp":1773878400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-045"}],"funder":[{"DOI":"10.13039\/100011661","name":"Pacific Northwest National Laboratory","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100011661","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Am. Soc. Mass Spectrom."],"published-print":{"date-parts":[[2026,4,1]]},"DOI":"10.1021\/jasms.5c00447","type":"journal-article","created":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T22:07:56Z","timestamp":1773958076000},"page":"934-942","source":"Crossref","is-referenced-by-count":0,"title":["Scalable Bayesian Estimation of Multicondition Omics Networks via Clustering and Iterative Merging"],"prefix":"10.1021","volume":"37","author":[{"given":"Moses","family":"Obiri","sequence":"first","affiliation":[{"name":"Earth Systems Science Division","place":["Richland, United States"]},{"name":"Pacific Northwest National Laboratory","place":["Richland, United States"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8933-7413","authenticated-orcid":true,"given":"Erik D.","family":"VonKaenel","sequence":"additional","affiliation":[{"name":"Biological Sciences Division","place":["Richland, United States"]},{"name":"Pacific Northwest National Laboratory","place":["Richland, United States"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5737-7173","authenticated-orcid":true,"given":"David J.","family":"Degnan","sequence":"additional","affiliation":[{"name":"Biological Sciences Division","place":["Richland, United States"]},{"name":"Pacific Northwest National Laboratory","place":["Richland, United States"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amy C.","family":"Sims","sequence":"additional","affiliation":[{"name":"Nuclear Chemical and Biological Technologies Division","place":["Richland, United States"]},{"name":"Pacific Northwest National Laboratory","place":["Richland, United States"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kristie L.","family":"Oxford","sequence":"additional","affiliation":[{"name":"Biological Sciences Division","place":["Richland, United States"]},{"name":"Pacific Northwest National Laboratory","place":["Richland, United States"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8384-1926","authenticated-orcid":true,"given":"Lisa M.","family":"Bramer","sequence":"additional","affiliation":[{"name":"Biological Sciences Division","place":["Richland, United States"]},{"name":"Pacific Northwest National Laboratory","place":["Richland, United States"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"316","published-online":{"date-parts":[[2026,3,19]]},"reference":[{"key":"ref1\/cit1","doi-asserted-by":"publisher","DOI":"10.15586\/computationalbiology.2019.ch5"},{"key":"ref2\/cit2","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-018-2173-7"},{"key":"ref3\/cit3","doi-asserted-by":"publisher","DOI":"10.1186\/s12916-023-02858-y"},{"key":"ref4\/cit4","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-61779-027-0_5"},{"key":"ref5\/cit5","doi-asserted-by":"publisher","DOI":"10.3389\/fgene.2019.00995"},{"key":"ref6\/cit6","doi-asserted-by":"publisher","DOI":"10.1007\/s11306-013-0598-6"},{"key":"ref7\/cit7","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbl022"},{"key":"ref8\/cit8","doi-asserted-by":"publisher","DOI":"10.3389\/fbioe.2020.00034"},{"key":"ref9\/cit9","doi-asserted-by":"publisher","DOI":"10.1109\/RBME.2021.3122522"},{"key":"ref10\/cit10","doi-asserted-by":"publisher","DOI":"10.1049\/iet-syb:20060038"},{"key":"ref11\/cit11","doi-asserted-by":"publisher","DOI":"10.1186\/1756-0381-4-10"},{"key":"ref12\/cit12","doi-asserted-by":"publisher","DOI":"10.1049\/iet-syb.2010.0025"},{"key":"ref13\/cit13","doi-asserted-by":"publisher","DOI":"10.1186\/1752-0509-7-111"},{"key":"ref14\/cit14","doi-asserted-by":"publisher","DOI":"10.1002\/wics.1582"},{"key":"ref15\/cit15","doi-asserted-by":"publisher","DOI":"10.1214\/20-EJS1724"},{"key":"ref16\/cit16","doi-asserted-by":"publisher","DOI":"10.1111\/rssb.12033"},{"key":"ref17\/cit17","doi-asserted-by":"publisher","DOI":"10.1111\/ectj.12104"},{"key":"ref18\/cit18","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Xiong, Y., Liu, X., Kong, X., Zhu, Y. Meta-path graphical lasso for learning heterogeneous connectivities. In:\n                      Proceedings of the 2017 SIAM International Conference on Data Mining\n                      ; SIAM 2017. p 642\u2013650.","DOI":"10.1137\/1.9781611974973.72"},{"key":"ref19\/cit19","doi-asserted-by":"publisher","DOI":"10.3390\/math9172105"},{"key":"ref20\/cit20","first-page":"1153","volume-title":"Artificial Intelligence and Statistics","author":"Zhu Y","year":"2015"},{"key":"ref21\/cit21","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2014.896806"},{"key":"ref22\/cit22","unstructured":"Yajima, M.; Telesca, D.; Ji, Y.; Muller, P. Differential patterns of interaction and Gaussian graphical models.\n                      COBRA Preprint Series.\n                      2012, 91."},{"key":"ref23\/cit23","doi-asserted-by":"publisher","DOI":"10.1111\/rssb.12276"},{"key":"ref24\/cit24","doi-asserted-by":"publisher","DOI":"10.1214\/17-AOAS1076"},{"key":"ref25\/cit25","doi-asserted-by":"crossref","unstructured":"Luo, S.; Song, R.; Witten, D. Sure screening for Gaussian graphical models.\n                      arXiv\n                      2014.","DOI":"10.1016\/j.csda.2013.09.002"},{"issue":"158","key":"ref26\/cit26","first-page":"1","volume":"21","author":"Gu J.","year":"2020","journal-title":"J. Mach. Learn. Res."},{"key":"ref27\/cit27","doi-asserted-by":"publisher","DOI":"10.1007\/s10955-016-1566-0"},{"key":"ref28\/cit28","unstructured":"Xuan, J.; Lu, J.; Zhang, G. Bayesian transfer learning: An overview of probabilistic graphical models for transfer learning.\n                      arXiv\n                      2021."},{"key":"ref29\/cit29","first-page":"183","volume-title":"Human cell culture protocols","author":"Fulcher M. L.","year":"2005"},{"key":"ref30\/cit30","doi-asserted-by":"publisher","DOI":"10.1128\/mSystems.00043-16"},{"key":"ref31\/cit31","doi-asserted-by":"publisher","DOI":"10.1039\/C6AN02486F"},{"key":"ref32\/cit32","first-page":"173","volume-title":"MERS Coronavirus: methods and protocols","author":"Nicora C. D.","year":"2019"},{"key":"ref33\/cit33","doi-asserted-by":"publisher","DOI":"10.1021\/pr301146m"},{"key":"ref34\/cit34","doi-asserted-by":"publisher","DOI":"10.1021\/acsomega.1c00776"},{"key":"ref35\/cit35","doi-asserted-by":"publisher","DOI":"10.1038\/s41596-018-0006-9"},{"key":"ref36\/cit36","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btv437"},{"key":"ref37\/cit37","doi-asserted-by":"publisher","DOI":"10.1038\/ncomms6277"},{"key":"ref38\/cit38","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiolchem.2008.02.006"},{"issue":"54","key":"ref39\/cit39","first-page":"1","volume":"22","author":"Yang X.","year":"2021","journal-title":"J, Mach. learn. Res."},{"key":"ref40\/cit40","unstructured":"Csardi, G., Nepusz, T.\n                      igraph: Network Analysis and Visualization in R. R\n                      package version 1.5.1. [software] 2006 [cited 2025 Sep 5]. Available from: https:\/\/igraph.org."},{"key":"ref41\/cit41","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jproteome.8b00760"},{"key":"ref42\/cit42","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jproteome.2c00610"},{"key":"ref43\/cit43","unstructured":"kneedle:\nKneedle\nAlgorithm in R -Detecting Knees in Graphs.\n                      GitHub repository.\n                      2025 [cited 2025 Sep 5].\nAvailable from: https:\/\/github.com\/etam4260\/kneedle."},{"key":"ref44\/cit44","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbab191"},{"key":"ref45\/cit45","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1981.10477658"},{"key":"ref46\/cit46","doi-asserted-by":"crossref","DOI":"10.1002\/9780470191613","volume-title":"The EM algorithm and extensions","author":"McLachlan G. J.","year":"2008"},{"key":"ref47\/cit47","doi-asserted-by":"crossref","unstructured":"Gelman, A.; Carlin, J. B.; Stern, H. S.; Rubin, D. B.\n                      Bayesian data analysis\n                      ; Chapman and Hall\/CRC1995.","DOI":"10.1201\/9780429258411"},{"key":"ref48\/cit48","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-021-21972-0"},{"key":"ref49\/cit49","doi-asserted-by":"publisher","DOI":"10.1016\/j.rceng.2024.04.006"},{"key":"ref50\/cit50","doi-asserted-by":"publisher","DOI":"10.1155\/2024\/6668017"},{"key":"ref51\/cit51","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-025-98505-y"},{"key":"ref52\/cit52","doi-asserted-by":"crossref","unstructured":"Oliva, J.; Ruffin, M.; Calmel, C.; Gibeaud, A.; Pizzorno, A.; Gaudin, C.; Chardonnet, S.; de Almeida, Bastos V; Rosa-Calatrava, M.; Soul\u00e9, A.; Emad, A. Divergent responses to SARS-CoV-2 infection in bronchial epithelium with pre-existing respiratory diseases.\n                      iScience.\n                      2025, 28 (3).","DOI":"10.1016\/j.isci.2025.111999"},{"key":"ref53\/cit53","doi-asserted-by":"publisher","DOI":"10.1038\/s42003-021-02095-0"},{"key":"ref54\/cit54","doi-asserted-by":"publisher","unstructured":"Cakir, N.; Gozke, E.; Ekinci, S. C.; Isik, S. A.; Osken, S.; Kaya, Z.; Guner, E. A.; Ak, F.; Yazicilar, H. A.; Kilic, H.; Anil, B. S. Cytokines and Other Laboratory Parameters of Hospitalized COVID-19 Patients that Predict Intensive Care Unit Admission.\n                      Clin. Lab.\n                      2024, 70 (10)10.7754\/Clin.Lab.2024.240109.","DOI":"10.7754\/Clin.Lab.2024.240109"},{"key":"ref55\/cit55","doi-asserted-by":"publisher","DOI":"10.1016\/j.coi.2024.102426"},{"key":"ref56\/cit56","doi-asserted-by":"publisher","DOI":"10.1016\/j.jare.2023.08.005"},{"key":"ref57\/cit57","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmi.2020.04.012"},{"key":"ref58\/cit58","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-020-1051-9"}],"container-title":["Journal of the American Society for Mass Spectrometry"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/pubs.acs.org\/doi\/pdf\/10.1021\/jasms.5c00447","content-type":"application\/pdf","content-version":"vor","intended-application":"unspecified"},{"URL":"https:\/\/pubs.acs.org\/doi\/pdf\/10.1021\/jasms.5c00447","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T08:11:08Z","timestamp":1775031068000},"score":1,"resource":{"primary":{"URL":"https:\/\/pubs.acs.org\/doi\/10.1021\/jasms.5c00447"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3,19]]},"references-count":58,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2026,4,1]]}},"alternative-id":["10.1021\/jasms.5c00447"],"URL":"https:\/\/doi.org\/10.1021\/jasms.5c00447","relation":{},"ISSN":["1044-0305","1879-1123"],"issn-type":[{"value":"1044-0305","type":"print"},{"value":"1879-1123","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3,19]]}}}