LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates

BACKGROUND: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to identify patterns that together explain the data as a linear combination of expression signatures. Microarray data generally...

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Detalles Bibliográficos
Autores principales: Wang, Guoli, Kossenkov, Andrew V, Ochs, Michael F
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1450309/
https://www.ncbi.nlm.nih.gov/pubmed/16569230
http://dx.doi.org/10.1186/1471-2105-7-175

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1450309/
https://www.ncbi.nlm.nih.gov/pubmed/16569230
http://dx.doi.org/10.1186/1471-2105-7-175

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