Interpretation of the DOME Recommendations for Machine Learning in Proteomics and Metabolomics

dc.contributor.author	Kohlbacher, Oliver
dc.date.accessioned	2022-12-08T14:54:21Z
dc.date.available	2022-12-08T14:54:21Z
dc.date.issued	2022
dc.identifier.issn	1535-3893
dc.identifier.uri	http://hdl.handle.net/10900/133906
dc.language.iso	en	en
dc.publisher	Amer Chemical Soc	de_DE
dc.relation.uri	http://dx.doi.org/10.1021/acs.jproteome.1c00900
dc.subject.ddc	570	de_DE
dc.title	Interpretation of the DOME Recommendations for Machine Learning in Proteomics and Metabolomics	de_DE
dc.type	Article	de_DE
utue.quellen.id	20220728000000_01413
utue.publikation.seiten	1204-1207	de_DE
utue.personen.roh	Palmblad, Magnus
utue.personen.roh	Boecker, Sebastian
utue.personen.roh	Degroeve, Sven
utue.personen.roh	Kohlbacher, Oliver
utue.personen.roh	Kall, Lukas
utue.personen.roh	Noble, William Stafford
utue.personen.roh	Wilhelm, Mathias
dcterms.isPartOf.ZSTitelID	Journal of Proteome Research	de_DE
dcterms.isPartOf.ZS-Issue	4	de_DE
dcterms.isPartOf.ZS-Volume	21	de_DE
utue.fakultaet	07 Mathematisch-Naturwissenschaftliche Fakultät