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