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Benchmark of lasso-like penalties in the Cox model for TCGA datasets reveal improved performance with pre-filtering and wide differences between cancers

2020-03-10

Abstract excerpt

<h4>Motivation</h4> Prediction of patient survival from tumor molecular ‘omics’ data is a key step toward personalized medicine. With this aim, the databases available are growing, with the collection of various ‘omics’ characterizations of patient tumors, together with their associated clinical outcomes for weeks to years of follow-up. Cox models with variable selection used with RNA profiling datasets are popul...

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Literature Corpus work
7797c371-3ecc-51c7-bcd6-a120d2579e51
DOI
10.1101/2020.03.09.984070
Open publication

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Benchmark of lasso-like penalties in the Cox model for TCGA datasets reveal improved performance with pre-filtering and wide differences between cancersDOI 10.1101/2020.03.09.984070
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