Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/33739
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dc.contributor.authorEveraert, Celine-
dc.contributor.authorVolders, Pieter-Jan-
dc.contributor.authorMorlion, Annelien-
dc.contributor.authorTHAS, Olivier-
dc.contributor.authorMestdagh, Pieter-
dc.date.accessioned2021-03-28T12:25:21Z-
dc.date.available2021-03-28T12:25:21Z-
dc.date.issued2019-
dc.date.submitted2021-03-28T12:24:08Z-
dc.identifier.urihttp://hdl.handle.net/1942/33739-
dc.description.abstractTo understand biology and differences among various tissues or cell types, one typically searches for molecular features that display characteristic abundance patterns. Several specificity metrics have been introduced to identify tissue-specific molecular features, but these either require an equal number of replicates per tissue or they can't handle replicates at all. We describe a non-parametric specificity score that is compatible with unequal sample group sizes. To demonstrate its usefulness, the specificity score was calculated on all GTEx samples, detecting known and novel tissue-specific genes. A webtool was developed-
dc.language.isoen-
dc.publisherCold Spring Harbor Laboratory-
dc.titleSPECS : a non-parameteric method to identify tissue-specific molecular features for unbalanced sample groups-
dc.typePreprint-
local.format.pages5-
local.bibliographicCitation.jcatO-
local.type.refereedNon-Refereed-
local.type.specifiedPreprint-
dc.identifier.doi10.1101/656397-
local.provider.typebibtex-
local.uhasselt.uhpubyes-
item.fullcitationEveraert, Celine; Volders, Pieter-Jan; Morlion, Annelien; THAS, Olivier & Mestdagh, Pieter (2019) SPECS : a non-parameteric method to identify tissue-specific molecular features for unbalanced sample groups.-
item.contributorEveraert, Celine-
item.contributorVolders, Pieter-Jan-
item.contributorMorlion, Annelien-
item.contributorTHAS, Olivier-
item.contributorMestdagh, Pieter-
item.fulltextWith Fulltext-
item.accessRightsOpen Access-
Appears in Collections:Research publications
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