Article

Comparison of sparse biclustering algorithms for gene expression datasets

2020-12-16

Abstract excerpt

Gene clustering and sample clustering are commonly used to find patterns in gene expression datasets. However, in heterogeneous samples (e.g. different tissues or disease states), genes may cluster differently. Biclustering algorithms aim to solve this issue by performing sample clustering and gene clustering simultaneously. Existing reviews of biclustering algorithms have yet to include a number of more recent al...

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Literature Corpus work: 395e008b-fa11-5c88-9e6a-2a41445986db
DOI: 10.1101/2020.12.15.422852

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