A Latent Feature Model Approach to Biclustering

Abstract

Biclustering is the unsupervised learning task of mining a data matrix for useful submatrices, for instance groups of genes that are co-expressed under particular biological conditions. As these submatrices are expected to partly overlap, a significant challenge in biclustering is to develop methods that are able to detect overlapping biclusters. The… (More)
DOI: 10.4018/IJKDB.2016070102

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