{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T07:01:38Z","timestamp":1775026898917,"version":"3.50.1"},"reference-count":5,"publisher":"Oxford University Press (OUP)","issue":"5","license":[{"start":{"date-parts":[[2017,10,12]],"date-time":"2017-10-12T00:00:00Z","timestamp":1507766400000},"content-version":"vor","delay-in-days":1,"URL":"https:\/\/academic.oup.com\/journals\/pages\/about_us\/legal\/notices"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61573296, 61473329 and 61673323"],"award-info":[{"award-number":["61573296, 61473329 and 61673323"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008865","name":"Xiamen University","doi-asserted-by":"publisher","award":["20720170076"],"award-info":[{"award-number":["20720170076"]}],"id":[{"id":"10.13039\/501100008865","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,3,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Motivation<\/jats:title>\n                  <jats:p>In gene expression studies, differential expression (DE) analysis has been widely used to identify genes with shifted expression mean between groups. Recently, differential variability (DV) analysis has been increasingly applied as analyzing changed expression variability (e.g. the changes in expression variance) between groups may reveal underlying genetic heterogeneity and undetected interactions, which has great implications in many fields of biology. An easy-to-use tool for DV analysis is needed.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>We develop AEGS for DV analysis, to identify aberrantly expressed gene sets in diseased cases but not in controls. AEGS can rank individual genes in an aberrantly expressed gene set by each gene\u2019s relative contribution to the total degree of aberrant expression, prioritizing top genes. AEGS can be used for discovering gene sets with disease-specific expression variability changes.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability and implementation<\/jats:title>\n                  <jats:p>AEGS web server is accessible at http:\/\/bmi.xmu.edu.cn:8003\/AEGS, where a stand-alone AEGS application can also be downloaded.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btx646","type":"journal-article","created":{"date-parts":[[2017,10,10]],"date-time":"2017-10-10T11:10:27Z","timestamp":1507633827000},"page":"881-883","source":"Crossref","is-referenced-by-count":5,"title":["AEGS: identifying aberrantly expressed gene sets for differential variability analysis"],"prefix":"10.1093","volume":"34","author":[{"given":"Jinting","family":"Guan","sequence":"first","affiliation":[{"name":"Department of Automation, Xiamen University, Xiamen, China"},{"name":"Xiamen Research Institute of National Center of Healthcare Big Data, Xiamen, China"}]},{"given":"Moliang","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Automation, Xiamen University, Xiamen, China"}]},{"given":"Congting","family":"Ye","sequence":"additional","affiliation":[{"name":"College of Environment and Ecology, Xiamen University, Xiamen, China"}]},{"given":"James J","family":"Cai","sequence":"additional","affiliation":[{"name":"Department of Veterinary Integrative Biosciences, Texas A&M University, College Station, TX, USA"},{"name":"Interdisciplinary Program in Genetics, Texas A&M University, College Station, TX, USA"}]},{"given":"Guoli","family":"Ji","sequence":"additional","affiliation":[{"name":"Department of Automation, Xiamen University, Xiamen, China"},{"name":"Xiamen Research Institute of National Center of Healthcare Big Data, Xiamen, China"},{"name":"Innovation Center for Cell Signaling Network, Xiamen University, Xiamen, China"}]}],"member":"286","published-online":{"date-parts":[[2017,10,11]]},"reference":[{"key":"2023012712471266300_btx646-B1","doi-asserted-by":"crossref","first-page":"797","DOI":"10.1007\/s00439-016-1673-7","article-title":"Exploiting aberrant mRNA expression in autism for gene discovery and diagnosis","volume":"135","author":"Guan","year":"2016","journal-title":"Hum. 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