A mixture model with a reference-based automatic selection of components for disease classification from protein and/or gene expression levels

摘要

BackgroundBioinformatics 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 retained for classification analysis remains an open issue.