Article

Stabilized Independent Component Analysis outperforms other methods in finding reproducible signals in tumoral transcriptomes

2018-05-09

Abstract excerpt

<h4>Motivation</h4> Matrix factorization methods are widely exploited in order to reduce dimensionality of transcriptomic datasets to the action of few hidden factors (metagenes). Applying such methods to similar independent datasets should yield reproducible inter-series outputs, though it was never demonstrated yet. <h4>Results</h4> We systematically test state-of-art methods of matrix factorization on several...

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Literature Corpus work: 41f3978d-c261-5b2c-ad20-f9482ef1088a
DOI: 10.1101/318154

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