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A mixture model with a reference-based automatic selection of components for disease classification from protein and/or gene expression levels
BACKGROUND: Bioinformatics data analysis is often using linear mixture model representing samples as additive mixture of components. Properly constrained blind matrix factorization methods extract those components using mixture samples only. However, automatic selection of extracted components to be...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2011
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3292585/ https://www.ncbi.nlm.nih.gov/pubmed/22208882 http://dx.doi.org/10.1186/1471-2105-12-496 |