{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T20:34:54Z","timestamp":1772138094102,"version":"3.50.1"},"reference-count":24,"publisher":"Oxford University Press (OUP)","issue":"19","license":[{"start":{"date-parts":[[2019,3,1]],"date-time":"2019-03-01T00:00:00Z","timestamp":1551398400000},"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\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01LM012806"],"award-info":[{"award-number":["R01LM012806"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100004917","name":"Cancer Prevention & Research Institute of Texas","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100004917","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100004917","name":"CPRIT","doi-asserted-by":"publisher","award":["RP180734"],"award-info":[{"award-number":["RP180734"]}],"id":[{"id":"10.13039\/100004917","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,10,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Motivation<\/jats:title>\n                    <jats:p>Diseases and traits are under dynamic tissue-specific regulation. However, heterogeneous tissues are often collected in biomedical studies, which reduce the power in the identification of disease-associated variants and gene expression profiles.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>We present deTS, an R package, to conduct tissue-specific enrichment analysis with two built-in reference panels. Statistical methods are developed and implemented for detecting tissue-specific genes and for enrichment test of different forms of query data. Our applications using multi-trait genome-wide association studies data and cancer expression data showed that deTS could effectively identify the most relevant tissues for each query trait or sample, providing insights for future studies.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Availability and implementation<\/jats:title>\n                    <jats:p>https:\/\/github.com\/bsml320\/deTS and CRAN https:\/\/cran.r-project.org\/web\/packages\/deTS\/<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Supplementary information<\/jats:title>\n                    <jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btz138","type":"journal-article","created":{"date-parts":[[2019,2,26]],"date-time":"2019-02-26T20:55:11Z","timestamp":1551214511000},"page":"3842-3845","source":"Crossref","is-referenced-by-count":67,"title":["<i>deTS<\/i>\n                    : tissue-specific enrichment analysis to decode tissue specificity"],"prefix":"10.1093","volume":"35","author":[{"given":"Guangsheng","family":"Pei","sequence":"first","affiliation":[{"name":"School of Biomedical Informatics, Center for Precision Health, The University of Texas Health Science Center at Houston , Houston, TX, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1874-7893","authenticated-orcid":false,"given":"Yulin","family":"Dai","sequence":"additional","affiliation":[{"name":"School of Biomedical Informatics, Center for Precision Health, The University of Texas Health Science Center at Houston , Houston, TX, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3477-0914","authenticated-orcid":false,"given":"Zhongming","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Biomedical Informatics, Center for Precision Health, The University of Texas Health Science Center at Houston , Houston, TX, USA"},{"name":"Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston , Houston, TX, USA"},{"name":"Department of Biomedical Informatics, Vanderbilt University Medical Center , Nashville, TN, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4523-4153","authenticated-orcid":false,"given":"Peilin","family":"Jia","sequence":"additional","affiliation":[{"name":"School of Biomedical Informatics, Center for Precision Health, The University of Texas Health Science Center at Houston , Houston, TX, USA"}]}],"member":"286","published-online":{"date-parts":[[2019,3,1]]},"reference":[{"key":"2023013108190382800_btz138-B1","doi-asserted-by":"crossref","first-page":"29.","DOI":"10.1371\/journal.pgen.1002293","article-title":"A genome-wide meta-analysis of six type 1 diabetes cohorts identifies multiple associated loci","volume":"7","author":"Bradfield","year":"2011","journal-title":"PLoS Genet"},{"key":"2023013108190382800_btz138-B2","doi-asserted-by":"crossref","first-page":"R101.","DOI":"10.1186\/gb-2011-12-10-r101","article-title":"SpeCond: a method to detect condition-specific gene expression","volume":"12","author":"Cavalli","year":"2011","journal-title":"Genome Biol"},{"key":"2023013108190382800_btz138-B3","doi-asserted-by":"crossref","first-page":"1294","DOI":"10.1038\/ng.3412","article-title":"Large-scale genomic analyses link reproductive aging to hypothalamic signaling, breast cancer susceptibility and BRCA1-mediated DNA repair","volume":"47","author":"Day","year":"2015","journal-title":"Nat. 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