Netboost: Boosting-supported network analysis improves high-dimensional omics prediction in acute myeloid leukemia and Huntington's disease

27 Sep 2019 Schlosser Pascal Knaus Jochen Schmutz Maximilian Döhner Konstanze Plass Christoph Bullinger Lars Claus Rainer Binder Harald Lübbert Michael Schumacher Martin

Background: State-of-the art selection methods fail to identify weak but cumulative effects of features found in many high-dimensional omics datasets. Nevertheless, these features play an important role in certain diseases... (read more)

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