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Article

Interpretable per Case Weighted Ensemble Method for Cancer Associations

2014-09-15

Abstract excerpt

<h4>Motivation</h4> Molecular measurements from cancer patients such as gene expression and DNA methylation are usually very noisy. Further-more, cancer types can be very heterogeneous. Therefore, one of the main assumptions for machine learning, that the underlying unknown distribution is the same for all samples, might not be completely fullfilled. We introduce a method, that can estimate this bias on a per-fea...

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Identifiers and source

Literature Corpus work
dcdbff3a-5241-55ca-8d06-cfc828527936
DOI
10.1101/008185
Open publication

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Interpretable per Case Weighted Ensemble Method for Cancer AssociationsDOI 10.1101/008185
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