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Article

Extracting a low-dimensional description of multiple gene expression datasets reveals a potential driver for tumor-associated stroma in ovarian cancer

2016-04-13

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background:</h4> Discovering patient subtypes and molecular drivers of a subtype are difficult and driving problems underlying most modern disease expression studies collected across patient populations. Expression patterns conserved across multiple expression datasets from independent disease studies are likely to represent important molecular events underlying the disease. <h4>Methods:</h...

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Literature Corpus work
03d6c2dc-30b4-5274-adbb-b97985d20e85
DOI
10.1101/048215
Open publication

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Extracting a low-dimensional description of multiple gene expression datasets reveals a potential driver for tumor-associated stroma in ovarian cancerDOI 10.1101/048215
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