De novo identification of maximally deregulated subnetworks based on multi-omics data with DeRegNet

dc.contributor.author	Winkler, Sebastian
dc.contributor.author	Winkler, Ivana
dc.contributor.author	Figaschewski, Mirjam
dc.contributor.author	Tiede, Thorsten
dc.contributor.author	Nordheim, Alfred
dc.contributor.author	Kohlbacher, Oliver
dc.date.accessioned	2022-12-12T13:21:49Z
dc.date.available	2022-12-12T13:21:49Z
dc.date.issued	2022
dc.identifier.issn	1471-2105
dc.identifier.uri	http://hdl.handle.net/10900/134025
dc.language.iso	en	de_DE
dc.publisher	Bmc	de_DE
dc.relation.uri	http://dx.doi.org/10.1186/s12859-022-04670-6
dc.subject.ddc	570	de_DE
dc.subject.ddc	600	de_DE
dc.title	De novo identification of maximally deregulated subnetworks based on multi-omics data with DeRegNet	de_DE
dc.type	Article	de_DE
utue.quellen.id	20220728000000_01145
utue.personen.roh	Winkler, Sebastian
utue.personen.roh	Winkler, Ivana
utue.personen.roh	Figaschewski, Mirjam
utue.personen.roh	Tiede, Thorsten
utue.personen.roh	Nordheim, Alfred
utue.personen.roh	Kohlbacher, Oliver
dcterms.isPartOf.ZSTitelID	Bmc Bioinformatics	de_DE
dcterms.isPartOf.ZS-Issue	1	de_DE
dcterms.isPartOf.ZS-Volume	23	de_DE
utue.fakultaet	07 Mathematisch-Naturwissenschaftliche Fakultät
utue.fakultaet	Sonstige
utue.fakultaet	04 Medizinische Fakultät