Article

MoSBi: Automated signature mining for molecular stratification and subtyping

2021-10-01

Abstract excerpt

The improving access to increasing amounts of biomedical data provides completely new chances for advanced patient stratification and disease subtyping strategies. This requires computational tools that produce uniformly robust results across highly heterogeneous molecular data. Unsupervised machine learning methodologies are able to discover de-novo patterns in such data. Biclustering is especially suited by simu...

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Literature Corpus work: 58e2cd36-edea-57d3-8776-d9a54728f8db
DOI: 10.1101/2021.09.30.462567

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