Using nonnegativematrix factorization, we measured the contribution of each signature to carcinogenesis, and used hierarchical clustering to subtype each cohort.
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Nonnegativematrix factorization (NMF) clustering of DNA copy number aberrations revealed three distinct molecular classes in this data set.
Uso de non-negative matrix en inglés
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Our method is fast and efficient, mimicking the multiplicative update rules commonly employed in algorithms for non-negativematrix factorization.
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Exposure systems and the composition of substances were identified from co-exposures using sparse non-negativematrix under-approximation to generate the main mixtures.
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Among them, blind non-negativematrix factorization is gaining interest since it requires little assumptions about the spectra and concentration of the fluorochromes.
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We performed class discovery using non-negativematrix factorization, and functional annotation using gene-set enrichment analyses, nearest template prediction, ingenuity pathway analyses, and immunohistochemistry.
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In this paper, we investigate the use of Non-NegativeMatrix Factorization (NNMF) for the analysis of structural neuroimaging data.
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Dietary pesticide exposure profiles were identified using Non-NegativeMatrix factorization (NMF), especially adapted for non-negative data with excess zeros.