CorrMF is a probabilistic sparse matrix factorisation model that learns dependencies between the latent factors (e.g. pathways) concurrently with extracting active factors from data (e.g. gene expression data).
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CorrMF is a probabilistic sparse matrix factorisation model that learns dependencies between the latent factors (e.g. pathways) concurrently with extracting active factors from data (e.g. gene expression data).
ProML/CorrMF
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CorrMF is a probabilistic sparse matrix factorisation model that learns dependencies between the latent factors (e.g. pathways) concurrently with extracting active factors from data (e.g. gene expression data).
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