{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T04:54:03Z","timestamp":1775019243727,"version":"3.50.1"},"reference-count":10,"publisher":"Oxford University Press (OUP)","issue":"13","license":[{"start":{"date-parts":[[2020,9,15]],"date-time":"2020-09-15T00:00:00Z","timestamp":1600128000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000266","name":"EPSRC","doi-asserted-by":"publisher","award":["EP\/L016044\/1"],"award-info":[{"award-number":["EP\/L016044\/1"]}],"id":[{"id":"10.13039\/501100000266","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000266","name":"EPSRC","doi-asserted-by":"publisher","award":["EP\/R512333\/1"],"award-info":[{"award-number":["EP\/R512333\/1"]}],"id":[{"id":"10.13039\/501100000266","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000268","name":"BBSRC","doi-asserted-by":"publisher","award":["BB\/T001801\/1"],"award-info":[{"award-number":["BB\/T001801\/1"]}],"id":[{"id":"10.13039\/501100000268","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000921","name":"COST","doi-asserted-by":"publisher","award":["CA15109"],"award-info":[{"award-number":["CA15109"]}],"id":[{"id":"10.13039\/501100000921","id-type":"DOI","asserted-by":"publisher"}]},{"name":"e-Therapeutics plc"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,7,27]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Summary<\/jats:title>\n                    <jats:p>Gene co-expression networks can be constructed in multiple different ways, both in the use of different measures of co-expression, and in the thresholds applied to the calculated co-expression values, from any given dataset. It is often not clear which co-expression network construction method should be preferred. COGENT provides a set of tools designed to aid the choice of network construction method without the need for any external validation data.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Availability and implementation<\/jats:title>\n                    <jats:p>https:\/\/github.com\/lbozhilova\/COGENT.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Supplementary information<\/jats:title>\n                    <jats:p>Supplementary information is available at Bioinformatics online.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btaa787","type":"journal-article","created":{"date-parts":[[2020,9,3]],"date-time":"2020-09-03T15:14:25Z","timestamp":1599146065000},"page":"1928-1929","source":"Crossref","is-referenced-by-count":5,"title":["COGENT: evaluating the consistency of gene co-expression networks"],"prefix":"10.1093","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2784-2040","authenticated-orcid":false,"given":"Lyuba V.","family":"Bozhilova","sequence":"first","affiliation":[{"name":"Department of Statistics, University of Oxford , Oxford OX1 3LB, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9262-0482","authenticated-orcid":false,"given":"Javier","family":"Pardo-Diaz","sequence":"additional","affiliation":[{"name":"Department of Statistics, University of Oxford , Oxford OX1 3LB, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gesine","family":"Reinert","sequence":"additional","affiliation":[{"name":"Department of Statistics, University of Oxford , Oxford OX1 3LB, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1388-2252","authenticated-orcid":false,"given":"Charlotte M.","family":"Deane","sequence":"additional","affiliation":[{"name":"Department of Statistics, University of Oxford , Oxford OX1 3LB, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2020,9,15]]},"reference":[{"key":"2023051611454936900_btaa787-B1","doi-asserted-by":"crossref","first-page":"e0206312","DOI":"10.1371\/journal.pone.0206312","article-title":"Comparison of normalization approaches for gene expression studies completed with high-throughput sequencing","volume":"13","author":"Abbas-Aghababazadeh","year":"2018","journal-title":"PLoS One"},{"key":"2023051611454936900_btaa787-B2","doi-asserted-by":"crossref","first-page":"446","DOI":"10.1186\/s12859-019-3036-6","article-title":"Measuring rank robustness in scored protein interaction networks","volume":"20","author":"Bozhilova","year":"2019","journal-title":"BMC Bioinform"},{"key":"2023051611454936900_btaa787-B3","doi-asserted-by":"crossref","first-page":"717","DOI":"10.1038\/nrmicro2419","article-title":"Advantages and limitations of current network inference methods","volume":"8","author":"De Smet","year":"2010","journal-title":"Nat. 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