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 |
Article |
de_DE |
dc.type |
ConferenceObject |
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 |