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Article

Comprehensive discovery of subsample gene expression components by information explanation: therapeutic implications in cancer

2016-03-11

Abstract excerpt

<h4>Background</h4> De novo inference of clinically relevant gene function relationships from tumor RNA-seq remains a challenging task. Current methods typically either partition patient samples into a few subtypes or rely upon analysis of pairwise gene correlations (co-expression) that will miss some groups in noisy data. Leveraging higher dimensional information can be expected to increase the power to discern...

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Literature Corpus work
ded72d65-1a0c-55d2-ba2d-f58deff06e1c
DOI
10.1101/043257
Open publication

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Comprehensive discovery of subsample gene expression components by information explanation: therapeutic implications in cancerDOI 10.1101/043257
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