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Non-negative matrix factorization for the analysis of complex gene expression data: identification of clinically relevant tumor subtypes
2008
Cancer Informatics
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 negative expression. We applied NMF to five different microarray data sets. We estimated the appropriate number metagens by comparing the residual error of NMF reconstruction of data to that of NMF
pmid:19259414
pmcid:PMC2623306
fatcat:kap5chbxqndvhix43jmz4kgmjy