The shape of gene expression distributions matter: how incorporating distribution shape improves the interpretation of cancer transcriptomic data

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dc.contributor.author Christopeit, Maximilian Erich Joachim
dc.date.accessioned 2021-07-12T10:05:54Z
dc.date.available 2021-07-12T10:05:54Z
dc.date.issued 2020
dc.identifier.issn 1471-2105
dc.identifier.uri http://hdl.handle.net/10900/117071
dc.language.iso en de_DE
dc.publisher Bmc de_DE
dc.relation.uri http://dx.doi.org/10.1186/s12859-020-03892-w de_DE
dc.subject.ddc 570 de_DE
dc.subject.ddc 600 de_DE
dc.title The shape of gene expression distributions matter: how incorporating distribution shape improves the interpretation of cancer transcriptomic data de_DE
dc.type Artikel de_DE
dc.type Konferenzveröffentlichung de_DE
utue.quellen.id 20210304112512_00025
utue.personen.roh de Torrente, Laurence
utue.personen.roh Zimmerman, Samuel
utue.personen.roh Suzuki, Masako
utue.personen.roh Christopeit, Maximilian
utue.personen.roh Greally, John M.
utue.personen.roh Mar, Jessica C.
dcterms.isPartOf.ZSTitelID Bmc Bioinformatics de_DE
dcterms.isPartOf.ZS-Issue Article 562 de_DE
dcterms.isPartOf.ZS-Volume 21 de_DE
utue.fakultaet 04 Medizinische Fakultät de_DE


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