{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T08:48:47Z","timestamp":1775810927700,"version":"3.50.1"},"reference-count":51,"publisher":"Oxford University Press (OUP)","issue":"16","license":[{"start":{"date-parts":[[2019,1,8]],"date-time":"2019-01-08T00:00:00Z","timestamp":1546905600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000060","name":"National Institute of Allergy and Infectious Diseases","doi-asserted-by":"publisher","award":["U19AI082715"],"award-info":[{"award-number":["U19AI082715"]}],"id":[{"id":"10.13039\/100000060","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,8,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Motivation<\/jats:title>\n                  <jats:p>Transcriptome-based computational drug repurposing has attracted considerable interest by bringing about faster and more cost-effective drug discovery. Nevertheless, key limitations of the current drug connectivity-mapping paradigm have been long overlooked, including the lack of effective means to determine optimal query gene signatures.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>The novel approach Dr Insight implements a frame-breaking statistical model for the \u2018hand-shake\u2019 between disease and drug data. The genome-wide screening of concordantly expressed genes (CEGs) eliminates the need for subjective selection of query signatures, added to eliciting better proxy for potential disease-specific drug targets. Extensive comparisons on simulated and real cancer datasets have validated the superior performance of Dr Insight over several popular drug-repurposing methods to detect known cancer drugs and drug\u2013target interactions. A proof-of-concept trial using the TCGA breast cancer dataset demonstrates the application of Dr Insight for a comprehensive analysis, from redirection of drug therapies, to a systematic construction of disease-specific drug-target networks.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability and implementation<\/jats:title>\n                  <jats:p>Dr Insight R package is available at https:\/\/cran.r-project.org\/web\/packages\/DrInsight\/index.html.<\/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\/btz006","type":"journal-article","created":{"date-parts":[[2019,1,5]],"date-time":"2019-01-05T04:50:49Z","timestamp":1546663849000},"page":"2818-2826","source":"Crossref","is-referenced-by-count":38,"title":["Breaking the paradigm: Dr Insight empowers signature-free, enhanced drug repurposing"],"prefix":"10.1093","volume":"35","author":[{"given":"Jinyan","family":"Chan","sequence":"first","affiliation":[{"name":"Baylor Scott & White Research Institute, Dallas, TX, USA"},{"name":"Institute of Biomedical Studies, Baylor University, Waco, TX, USA"}]},{"given":"Xuan","family":"Wang","sequence":"additional","affiliation":[{"name":"Baylor Scott & White Research Institute, Dallas, TX, USA"}]},{"given":"Jacob A","family":"Turner","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Statistics, Stephen F. 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