%0 Journal Article
%A Maros, Máté E
%A Capper, David
%A Jones, David T W
%A Hovestadt, Volker
%A von Deimling, Andreas
%A Pfister, Stefan M
%A Benner, Axel
%A Zucknick, Manuela
%A Sill, Martin
%T Machine learning workflows to estimate class probabilities for precision cancer diagnostics on DNA methylation microarray data.
%J Nature protocols
%V 15
%N 2
%@ 1750-2799
%C Basingstoke
%I Nature Publishing Group
%M DKFZ-2020-00190
%P 479-512
%D 2020
%Z #LA:B062#
%X Machine learning workflows to estimate class probabilities for precision cancer diagnostics on DNA methylation microarray data.
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:31932775
%R 10.1038/s41596-019-0251-6
%U https://inrepo02.dkfz.de/record/153108