Non-Negative Matrix Factorization for the Analysis of Complex Gene Expression Data: Identification of Clinically Relevant Tumor Subtypes

Non-negative matrix factorization (NMF) is a relatively new approach to analyze gene expression data that models data by additive combinations of non-negative basis vectors (metagenes). The non-negativity constraint makes sense biologically as genes may either be expressed or not, but never show neg...

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Bibliographic Details
Main Authors: Attila Frigyesi, Mattias Höglund
Format: Article
Language:English
Published: SAGE Publishing 2008-01-01
Series:Cancer Informatics
Subjects:
NMF
Online Access:http://la-press.com/article.php?article_id=839

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