{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T20:17:29Z","timestamp":1773951449276,"version":"3.50.1"},"reference-count":62,"publisher":"Oxford University Press (OUP)","issue":"17","license":[{"start":{"date-parts":[[2022,7,20]],"date-time":"2022-07-20T00:00:00Z","timestamp":1658275200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/100000026","name":"National Institute on Drug Abuse","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000026","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Institute of Health","award":["1DP1DA048968-01"],"award-info":[{"award-number":["1DP1DA048968-01"]}]},{"name":"University of Maryland MPower Brain Health and Human Performance"},{"DOI":"10.13039\/100000001","name":"NSF","doi-asserted-by":"publisher","award":["DMS-2113568"],"award-info":[{"award-number":["DMS-2113568"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Central Research Development Fund"},{"DOI":"10.13039\/100007921","name":"University of Pittsburgh","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007921","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,9,2]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Motivation<\/jats:title><jats:p>The advancement of high-throughput technology characterizes a wide variety of epigenetic modifications and noncoding RNAs across the genome involved in disease pathogenesis via regulating gene expression. The high dimensionality of both epigenetic\/noncoding RNA and gene expression data make it challenging to identify the important regulators of genes. Conducting univariate test for each possible regulator\u2013gene pair is subject to serious multiple comparison burden, and direct application of regularization methods to select regulator\u2013gene pairs is computationally infeasible. Applying fast screening to reduce dimension first before regularization is more efficient and stable than applying regularization methods alone.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>We propose a novel screening method based on robust partial correlation to detect epigenetic and noncoding RNA regulators of gene expression over the whole genome, a problem that includes both high-dimensional predictors and high-dimensional responses. Compared to existing screening methods, our method is conceptually innovative that it reduces the dimension of both predictor and response, and screens at both node (regulators or genes) and edge (regulator\u2013gene pairs) levels. We develop data-driven procedures to determine the conditional sets and the optimal screening threshold, and implement a fast iterative algorithm. Simulations and applications to long noncoding RNA and microRNA regulation in Kidney cancer and DNA methylation regulation in Glioblastoma Multiforme illustrate the validity and advantage of our method.<\/jats:p><\/jats:sec><jats:sec><jats:title>Availability and implementation<\/jats:title><jats:p>The R package, related source codes and real datasets used in this article are provided at https:\/\/github.com\/kehongjie\/rPCor.<\/jats:p><\/jats:sec><jats:sec><jats:title>Supplementary information<\/jats:title><jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p><\/jats:sec>","DOI":"10.1093\/bioinformatics\/btac518","type":"journal-article","created":{"date-parts":[[2022,7,20]],"date-time":"2022-07-20T13:09:01Z","timestamp":1658322541000},"page":"4078-4087","source":"Crossref","is-referenced-by-count":8,"title":["High-dimension to high-dimension screening for detecting genome-wide epigenetic and noncoding RNA regulators of gene expression"],"prefix":"10.1093","volume":"38","author":[{"given":"Hongjie","family":"Ke","sequence":"first","affiliation":[{"name":"Department of Epidemiology and Biostatistics, University of Maryland , College Park, MD 20742, USA"}]},{"given":"Zhao","family":"Ren","sequence":"additional","affiliation":[{"name":"Department of Statistics, University of Pittsburgh , Pittsburgh, PA 15260, USA"}]},{"given":"Jianfei","family":"Qi","sequence":"additional","affiliation":[{"name":"Department of Biochemistry and Molecular Biology, University of Maryland , Baltimore, MD 21201, USA"}]},{"given":"Shuo","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Epidemiology & Public Health, University of Maryland , Baltimore, MD 21201, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5447-1014","authenticated-orcid":false,"given":"George C","family":"Tseng","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, University of Pittsburgh , Pittsburgh, PA 15260, USA"}]},{"given":"Zhenyao","family":"Ye","sequence":"additional","affiliation":[{"name":"Department of Epidemiology & Public Health, University of Maryland , Baltimore, MD 21201, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3605-0811","authenticated-orcid":false,"given":"Tianzhou","family":"Ma","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Biostatistics, University of Maryland , College Park, MD 20742, USA"}]}],"member":"286","published-online":{"date-parts":[[2022,7,20]]},"reference":[{"key":"2023072001522844900_btac518-B1","doi-asserted-by":"crossref","first-page":"204","DOI":"10.1038\/nature24277","article-title":"Genetic effects on gene expression across human tissues","volume":"550","author":"Aguet","year":"2017","journal-title":"Nature"},{"key":"2023072001522844900_btac518-B2","first-page":"342","article-title":"Integrated network analysis of the potential molecular biomarkers and key pathways in clear renal cell carcinoma (ccRCC)","volume":"15","author":"Ak\u00e7ay","year":"2021","journal-title":"J. Appl. Biol. Sci"},{"key":"2023072001522844900_btac518-B3","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1038\/nrg.2016.59","article-title":"The molecular hallmarks of epigenetic control","volume":"17","author":"Allis","year":"2016","journal-title":"Nat. Rev. Genet"},{"key":"2023072001522844900_btac518-B4","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1038\/75556","article-title":"Gene ontology: tool for the unification of biology","volume":"25","author":"Ashburner","year":"2000","journal-title":"Nat. Genet"},{"key":"2023072001522844900_btac518-B5","volume-title":"Modern Information Retrieval","author":"Baeza-Yates","year":"1999"},{"key":"2023072001522844900_btac518-B6","doi-asserted-by":"crossref","first-page":"1266","DOI":"10.1080\/01621459.2015.1092974","article-title":"Conditional sure independence screening","volume":"111","author":"Barut","year":"2016","journal-title":"J. Am. Stat. Assoc"},{"key":"2023072001522844900_btac518-B7","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1111\/j.2517-6161.1995.tb02031.x","article-title":"Controlling the false discovery rate: a practical and powerful approach to multiple testing","volume":"57","author":"Benjamini","year":"1995","journal-title":"J. R. Stat. Soc. Series B Methodol"},{"key":"2023072001522844900_btac518-B8","doi-asserted-by":"crossref","first-page":"462","DOI":"10.1016\/j.cell.2013.09.034","article-title":"The somatic genomic landscape of glioblastoma","volume":"155","author":"Brennan","year":"2013","journal-title":"Cell"},{"key":"2023072001522844900_btac518-B9","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1093\/biomet\/asq008","article-title":"Variable selection in high-dimensional linear models: partially faithful distributions and the PC-simple algorithm","volume":"97","author":"B\u00fchlmann","year":"2010","journal-title":"Biometrika"},{"key":"2023072001522844900_btac518-B10","doi-asserted-by":"crossref","first-page":"671","DOI":"10.1016\/j.eururo.2011.01.044","article-title":"MicroRNA in prostate, bladder, and kidney cancer: a systematic review","volume":"59","author":"Catto","year":"2011","journal-title":"Eur. Urol"},{"key":"2023072001522844900_btac518-B11","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41392-019-0095-0","article-title":"Targeting epigenetic regulators for cancer therapy: mechanisms and advances in clinical trials","volume":"4","author":"Cheng","year":"2019","journal-title":"Sig. Transduct. Target. Ther"},{"key":"2023072001522844900_btac518-B12","first-page":"1749","article-title":"On sure screening with multiple responses","volume":"31","author":"Di He","year":"2021","journal-title":"Stat. Sin"},{"key":"2023072001522844900_btac518-B13","doi-asserted-by":"crossref","first-page":"575","DOI":"10.1038\/nature16462","article-title":"Competition between DNA methylation and transcription factors determines binding of NRF1","volume":"528","author":"Domcke","year":"2015","journal-title":"Nature"},{"key":"2023072001522844900_btac518-B14","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s12859-017-1559-2","article-title":"Reactome pathway analysis: a high-performance in-memory approach","volume":"18","author":"Fabregat","year":"2017","journal-title":"BMC Bioinformatics"},{"key":"2023072001522844900_btac518-B15","doi-asserted-by":"crossref","first-page":"849","DOI":"10.1111\/j.1467-9868.2008.00674.x","article-title":"Sure independence screening for ultrahigh dimensional feature space","volume":"70","author":"Fan","year":"2008","journal-title":"J. R. Stat. Soc. Series B Stat. Methodol"},{"key":"2023072001522844900_btac518-B16","doi-asserted-by":"crossref","first-page":"3567","DOI":"10.1214\/10-AOS798","article-title":"Sure independence screening in generalized linear models with NP-dimensionality","volume":"38","author":"Fan","year":"2010","journal-title":"Ann. Statist"},{"key":"2023072001522844900_btac518-B17","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1038\/hdy.2010.54","article-title":"Epigenetics and gene expression","volume":"105","author":"Gibney","year":"2010","journal-title":"Heredity. (Edinb)"},{"key":"2023072001522844900_btac518-B18","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1016\/j.csda.2018.09.001","article-title":"Covariance-insured screening","volume":"132","author":"He","year":"2019","journal-title":"Comput. Stat. Data Anal"},{"key":"2023072001522844900_btac518-B19","doi-asserted-by":"crossref","first-page":"430","DOI":"10.1093\/cvr\/cvr097","article-title":"Non-coding RNAs as regulators of gene expression and epigenetics","volume":"90","author":"Kaikkonen","year":"2011","journal-title":"Cardiovasc. Res"},{"key":"2023072001522844900_btac518-B20","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1093\/nar\/28.1.27","article-title":"KEGG: kyoto encyclopedia of genes and genomes","volume":"28","author":"Kanehisa","year":"2000","journal-title":"Nucleic Acids Res"},{"key":"2023072001522844900_btac518-B21","doi-asserted-by":"crossref","first-page":"454","DOI":"10.1214\/19-STS711","article-title":"User-friendly covariance estimation for heavy-tailed distributions","volume":"34","author":"Ke","year":"2019","journal-title":"Statist. Sci"},{"key":"2023072001522844900_btac518-B22","doi-asserted-by":"crossref","first-page":"650","DOI":"10.1016\/j.cell.2018.01.029","article-title":"The human transcription factors","volume":"172","author":"Lambert","year":"2018","journal-title":"Cell"},{"key":"2023072001522844900_btac518-B23","doi-asserted-by":"crossref","first-page":"1278","DOI":"10.1089\/cmb.2019.0145","article-title":"Identification of key biomarkers and potential molecular mechanisms in renal cell carcinoma by bioinformatics analysis","volume":"26","author":"Li","year":"2019","journal-title":"J. Comput. Biol"},{"key":"2023072001522844900_btac518-B24","doi-asserted-by":"crossref","first-page":"3728","DOI":"10.1158\/0008-5472.CAN-15-0273","article-title":"TANRIC: an interactive open platform to explore the function of lncRNAs in cancer","volume":"75","author":"Li","year":"2015","journal-title":"Cancer Res"},{"key":"2023072001522844900_btac518-B25","doi-asserted-by":"crossref","first-page":"1129","DOI":"10.1080\/01621459.2012.695654","article-title":"Feature screening via distance correlation learning","volume":"107","author":"Li","year":"2012","journal-title":"J. Am. Stat. Assoc"},{"key":"2023072001522844900_btac518-B26","doi-asserted-by":"crossref","first-page":"354","DOI":"10.1111\/biom.12292","article-title":"Multivariate sparse group lasso for the multivariate multiple linear regression with an arbitrary group structure","volume":"71","author":"Li","year":"2015","journal-title":"Biometrics"},{"key":"2023072001522844900_btac518-B27","first-page":"2295","article-title":"The nonparanormal: semiparametric estimation of high dimensional undirected graphs","volume":"10","author":"Liu","year":"2009","journal-title":"J. Mach. Learn. Res"},{"key":"2023072001522844900_btac518-B28","doi-asserted-by":"crossref","first-page":"2293","DOI":"10.1214\/12-AOS1037","article-title":"High-dimensional semiparametric Gaussian copula graphical models","volume":"40","author":"Liu","year":"2012","journal-title":"Ann. Statist"},{"key":"2023072001522844900_btac518-B29","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11425-015-5062-9","article-title":"A selective overview of feature screening for ultrahigh-dimensional data","volume":"58","author":"Liu","year":"2015","journal-title":"Sci. China Math"},{"key":"2023072001522844900_btac518-B30","first-page":"925","article-title":"Variable screening with multiple studies","volume":"30","author":"Ma","year":"2020","journal-title":"Stat. Sin"},{"key":"2023072001522844900_btac518-B31","doi-asserted-by":"crossref","first-page":"2611","DOI":"10.1158\/0008-5472.CAN-10-3666","article-title":"MicroRNA-205 inhibits Src-mediated oncogenic pathways in renal cancer","volume":"71","author":"Majid","year":"2011","journal-title":"Cancer Res"},{"key":"2023072001522844900_btac518-B32","doi-asserted-by":"crossref","first-page":"1140","DOI":"10.1016\/j.eururo.2013.12.003","article-title":"Long noncoding RNA in prostate, bladder, and kidney cancer","volume":"65","author":"Martens-Uzunova","year":"2014","journal-title":"Eur. Urol"},{"key":"2023072001522844900_btac518-B33","doi-asserted-by":"crossref","first-page":"255","DOI":"10.4161\/epi.9130","article-title":"A microarray-based DNA methylation study of glioblastoma multiforme","volume":"4","author":"Martinez","year":"2009","journal-title":"Epigenetics"},{"key":"2023072001522844900_btac518-B34","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1111\/j.1467-9868.2010.00740.x","article-title":"Stability selection","volume":"72","author":"Meinshausen","year":"2010","journal-title":"J. R. Stat. Soc. Series B Stat. Methodol"},{"key":"2023072001522844900_btac518-B35","first-page":"117","article-title":"BioCarta. Biotech software & internet report","volume":"2","author":"Nishimura","year":"2001","journal-title":"Comput. Softw. J. Sci"},{"key":"2023072001522844900_btac518-B36","doi-asserted-by":"crossref","first-page":"510","DOI":"10.1016\/j.ccr.2010.03.017","article-title":"Identification of a CpG island methylator phenotype that defines a distinct subgroup of glioma","volume":"17","author":"Noushmehr","year":"2010","journal-title":"Cancer Cell"},{"key":"2023072001522844900_btac518-B37","doi-asserted-by":"crossref","first-page":"735","DOI":"10.1198\/jasa.2009.0126","article-title":"Partial correlation estimation by joint sparse regression models","volume":"104","author":"Peng","year":"2009","journal-title":"J. Am. Stat. Assoc"},{"key":"2023072001522844900_btac518-B38","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1214\/09-AOAS271","article-title":"Regularized multivariate regression for identifying master predictors with application to integrative genomics study of breast cancer","volume":"4","author":"Peng","year":"2010","journal-title":"Ann. Appl. Stat"},{"key":"2023072001522844900_btac518-B39","doi-asserted-by":"crossref","first-page":"1057","DOI":"10.1038\/nbt.1685","article-title":"Epigenetic modifications and human disease","volume":"28","author":"Portela","year":"2010","journal-title":"Nat. Biotechnol"},{"key":"2023072001522844900_btac518-B40","doi-asserted-by":"crossref","first-page":"900","DOI":"10.1016\/j.neo.2014.09.001","article-title":"The long non-coding RNA PCAT-1 promotes prostate cancer cell proliferation through cMyc","volume":"16","author":"Prensner","year":"2014","journal-title":"Neoplasia"},{"key":"2023072001522844900_btac518-B41","doi-asserted-by":"crossref","first-page":"1651","DOI":"10.1158\/0008-5472.CAN-13-3159","article-title":"PCAT-1, a long noncoding RNA, regulates BRCA2 and controls homologous recombination in cancer","volume":"74","author":"Prensner","year":"2014","journal-title":"Cancer Res"},{"key":"2023072001522844900_btac518-B42","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1016\/j.bbrc.2014.08.067","article-title":"MicroRNA-183 plays as oncogenes by increasing cell proliferation, migration and invasion via targeting protein phosphatase 2A in renal cancer cells","volume":"452","author":"Qiu","year":"2014","journal-title":"Biochem. Biophys. Res. Commun"},{"key":"2023072001522844900_btac518-B43","doi-asserted-by":"crossref","first-page":"3540","DOI":"10.1200\/JCO.2018.79.2309","article-title":"Metabolic pathways in kidney cancer: current therapies and future directions","volume":"36","author":"Rathmell","year":"2018","journal-title":"J. Clin. Oncol"},{"key":"2023072001522844900_btac518-B44","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1016\/j.celrep.2018.03.075","article-title":"The Cancer Genome Atlas comprehensive molecular characterization of renal cell carcinoma","volume":"23","author":"Ricketts","year":"2018","journal-title":"Cell Rep"},{"key":"2023072001522844900_btac518-B45","doi-asserted-by":"crossref","first-page":"28932","DOI":"10.1038\/srep28932","article-title":"Lipidomic signatures and associated transcriptomic profiles of clear cell renal cell carcinoma","volume":"6","author":"Saito","year":"2016","journal-title":"Sci. Rep"},{"key":"2023072001522844900_btac518-B46","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/j.stem.2012.12.007","article-title":"The sox family of transcription factors: versatile regulators of stem and progenitor cell fate","volume":"12","author":"Sarkar","year":"2013","journal-title":"Cell Stem Cell"},{"key":"2023072001522844900_btac518-B47","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1093\/carcin\/bgp220","article-title":"Epigenetics in cancer","volume":"31","author":"Sharma","year":"2010","journal-title":"Carcinogenesis"},{"key":"2023072001522844900_btac518-B48","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1038\/s41580-020-00315-9","article-title":"Gene regulation by long non-coding RNAs and its biological functions","volume":"22","author":"Statello","year":"2021","journal-title":"Nat. Rev. Mol. Cell Biol"},{"key":"2023072001522844900_btac518-B49","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1038\/sj.hdy.6800847","article-title":"Hox transcription factors and their elusive mammalian gene targets","volume":"97","author":"Svingen","year":"2006","journal-title":"Heredity (Edinb)"},{"key":"2023072001522844900_btac518-B50","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1111\/j.2517-6161.1996.tb02080.x","article-title":"Regression shrinkage and selection via the lasso","volume":"58","author":"Tibshirani","year":"1996","journal-title":"J. R. Stat. Soc. Series B Methodol"},{"key":"2023072001522844900_btac518-B51","first-page":"A68","article-title":"The Cancer Genome Atlas (TCGA): an immeasurable source of knowledge","volume":"19","author":"Tomczak","year":"2015","journal-title":"Contemp. Oncol. (Pozn)"},{"key":"2023072001522844900_btac518-B52","doi-asserted-by":"crossref","first-page":"D956","DOI":"10.1093\/nar\/gkx1090","article-title":"Linkedomics: analyzing multi-omics data within and across 32 cancer types","volume":"46","author":"Vasaikar","year":"2018","journal-title":"Nucleic Acids Res"},{"key":"2023072001522844900_btac518-B53","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1093\/bioinformatics\/bts655","article-title":"BAG: integrative Bayesian analysis of high-dimensional multiplatform genomics data","volume":"29","author":"Wang","year":"2013","journal-title":"Bioinformatics"},{"key":"2023072001522844900_btac518-B54","doi-asserted-by":"crossref","first-page":"1726","DOI":"10.1080\/01621459.2014.993081","article-title":"Conditional distance correlation","volume":"110","author":"Wang","year":"2015","journal-title":"J. Am. Stat. Assoc"},{"key":"2023072001522844900_btac518-B55","doi-asserted-by":"crossref","first-page":"638","DOI":"10.1093\/bioinformatics\/btt014","article-title":"Mircancer: a microRNA\u2013NAancer: a micro\/\/www.ncbi.nlm.nih.gov\/pby text mining on literature","volume":"29","author":"Xie","year":"2013","journal-title":"Bioinformatics"},{"key":"2023072001522844900_btac518-B56","first-page":"3813","article-title":"Graphical models via univariate exponential family distributions","volume":"16","author":"Yang","year":"2015","journal-title":"J. Mach. Learn. Res"},{"key":"2023072001522844900_btac518-B57","doi-asserted-by":"crossref","first-page":"1403","DOI":"10.1093\/bib\/bby008","article-title":"Inferring and analyzing module-specific lncRNA\u2013NRNA causal regulatory networks in human cancer","volume":"20","author":"Zhang","year":"2019","journal-title":"Brief. Bioinform"},{"key":"2023072001522844900_btac518-B58","doi-asserted-by":"crossref","first-page":"D86","DOI":"10.1093\/nar\/gkaa1076","article-title":"EVLncRNAs 2.0: an updated database of manually curated functional long non-coding RNAs validated by low-throughput experiments","volume":"49","author":"Zhou","year":"2021","journal-title":"Nucleic Acids Res"},{"key":"2023072001522844900_btac518-B59","doi-asserted-by":"crossref","first-page":"1989","DOI":"10.1007\/s00432-014-1699-y","article-title":"An emerging understanding of long noncoding RNAs in kidney cancer","volume":"140","author":"Zhou","year":"2014","journal-title":"J. Cancer Res. Clin. Oncol"},{"key":"2023072001522844900_btac518-B60","doi-asserted-by":"crossref","first-page":"551","DOI":"10.1038\/nrg.2016.83","article-title":"Transcription factors as readers and effectors of DNA methylation","volume":"17","author":"Zhu","year":"2016","journal-title":"Nat. Rev. Genet"},{"key":"2023072001522844900_btac518-B61","doi-asserted-by":"crossref","first-page":"1464","DOI":"10.1198\/jasa.2011.tm10563","article-title":"Model-free feature screening for ultrahigh-dimensional data","volume":"106","author":"Zhu","year":"2011","journal-title":"J. Am. Stat. Assoc"},{"key":"2023072001522844900_btac518-B62","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1111\/j.1467-9868.2005.00503.x","article-title":"Regularization and variable selection via the elastic net","volume":"67","author":"Zou","year":"2005","journal-title":"J. R. Stat. Soc. Series B Stat. Methodol"}],"container-title":["Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bioinformatics\/advance-article-pdf\/doi\/10.1093\/bioinformatics\/btac518\/45226769\/btac518.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/38\/17\/4078\/49889664\/btac518.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/38\/17\/4078\/49889664\/btac518.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,29]],"date-time":"2024-09-29T13:33:46Z","timestamp":1727616826000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article\/38\/17\/4078\/6646982"}},"subtitle":[],"editor":[{"given":"Can","family":"Alkan","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2022,7,20]]},"references-count":62,"journal-issue":{"issue":"17","published-print":{"date-parts":[[2022,9,2]]}},"URL":"https:\/\/doi.org\/10.1093\/bioinformatics\/btac518","relation":{},"ISSN":["1367-4803","1367-4811"],"issn-type":[{"value":"1367-4803","type":"print"},{"value":"1367-4811","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2022,9,1]]},"published":{"date-parts":[[2022,7,20]]}}}