Separating and reintegrating latent variables to improve classification of genomic data
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Genomic data sets contain the effects of various unobserved biological variables in addition to the variable of primary interest. These latent variables often affect a large number of features (e.g., genes), giving rise to dense latent variation. This latent v... ...
