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Unsupervised analysis reveals two molecular subgroups of serous ovarian cancer with distinct gene expression profiles and survival

30 Mar 2016

Abstract excerpt

PURPOSE: Ovarian cancer is typically diagnosed at late stages, and thus, patients' prognosis is poor. Improvement in treatment outcomes depends, at least partly, on better understanding of ovarian cancer biology and finding new molecular markers and therapeutic targets. METHODS: An unsupervised method of data analysis, singular value decomposition, was applied to analyze microarray data from 101 ovarian cancer...

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PMID: 27028324
DOI: 10.1007/s00432-016-2147-y

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