Discretization of Gene Expression Data Unmasks Molecular Subgroups Recurring in Different Human Cancer Types.
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ABSTRACT:
SUBMITTER: Beleut M
PROVIDER: S-EPMC4990327 | biostudies-literature | 2016
REPOSITORIES: biostudies-literature
Publications
Discretization of Gene Expression Data Unmasks Molecular Subgroups Recurring in Different Human Cancer Types.
Beleut Manfred M Soeldner Robert R Egorov Mark M Guenther Rolf R Dehler Silvia S Morys-Wortmann Corinna C Moch Holger H Henco Karsten K Schraml Peter P
PloS one 20160818 8
Despite the individually different molecular alterations in tumors, the malignancy associated biological traits are strikingly similar. Results of a previous study using renal cell carcinoma (RCC) as a model pointed towards cancer-related features, which could be visualized as three groups by microarray based gene expression analysis. In this study, we used a mathematic model to verify the presence of these groups in RCC as well as in other cancer types. We developed an algorithm for gene-expres ...[more]
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