A mixture model with a reference-based automatic selection of components for disease classification from protein and/or gene expression levels
<p>Abstract</p> <p>Background</p> <p>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. How...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2011-12-01
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| Series: | BMC Bioinformatics |
| Online Access: | http://www.biomedcentral.com/1471-2105/12/496 |