{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,12]],"date-time":"2026-06-12T17:49:42Z","timestamp":1781286582433,"version":"3.54.1"},"reference-count":23,"publisher":"Oxford University Press (OUP)","issue":"22","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2008,11,15]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Motivation: Gene-set enrichment analysis (GSEA) can be greatly enhanced by linear model (regression) diagnostic techniques. Diagnostics can be used to identify outlying or influential samples, and also to evaluate model fit and explore model expansion.<\/jats:p><jats:p>Results: We demonstrate this methodology on an adult acute lymphoblastic leukemia (ALL) dataset, using GSEA based on chromosome-band mapping of genes. Individual residuals, grouped or aggregated by chromosomal loci, indicate problematic samples and potential data-entry errors, and help identify hyperdiploidy as a factor playing a key role in expression for this dataset. Subsequent analysis pinpoints suspected DNA copy number abnormalities of specific samples and chromosomes (most prevalent are chromosomes X, 21 and 14), and also reveals significant expression differences between the hyperdiploid and diploid groups on other chromosomes (most prominently 19, 22, 3 and 13)\u2014differences which are apparently not associated with copy number.<\/jats:p><jats:p>Availability: Software for the statistical tools demonstrated in this article is available as Bioconductor package GSEAlm.<\/jats:p><jats:p>Contact: \u00a0assaf.oron@gmail.com<\/jats:p><jats:p>Supplementary information: \u00a0Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btn465","type":"journal-article","created":{"date-parts":[[2008,9,13]],"date-time":"2008-09-13T00:24:11Z","timestamp":1221265451000},"page":"2586-2591","source":"Crossref","is-referenced-by-count":52,"title":["Gene set enrichment analysis using linear models and diagnostics"],"prefix":"10.1093","volume":"24","author":[{"given":"Assaf P.","family":"Oron","sequence":"first","affiliation":[{"name":"1 Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, Seattle, WA 98109-1024, 2Department of Statistics, Box 354322, University of Washington, Seattle, WA 98195-4322 and 3Rosetta Inpharmatics LLC, 401 Terry Avenue N, Seattle, WA 98109, USA"},{"name":"1 Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, Seattle, WA 98109-1024, 2Department of Statistics, Box 354322, University of Washington, Seattle, WA 98195-4322 and 3Rosetta Inpharmatics LLC, 401 Terry Avenue N, Seattle, WA 98109, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhen","family":"Jiang","sequence":"additional","affiliation":[{"name":"1 Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, Seattle, WA 98109-1024, 2Department of Statistics, Box 354322, University of Washington, Seattle, WA 98195-4322 and 3Rosetta Inpharmatics LLC, 401 Terry Avenue N, Seattle, WA 98109, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Robert","family":"Gentleman","sequence":"additional","affiliation":[{"name":"1 Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, Seattle, WA 98109-1024, 2Department of Statistics, Box 354322, University of Washington, Seattle, WA 98195-4322 and 3Rosetta Inpharmatics LLC, 401 Terry Avenue N, Seattle, WA 98109, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2008,9,11]]},"reference":[{"key":"2023020212233197000_B1","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. 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