Article

Identification of interpretable clusters and associated signatures in breast cancer single cell data: a topic modeling approach

2022-09-15

Abstract excerpt

<h4>ABSTRACT</h4> Topic modeling is a popular technique in machine learning and natural language processing, where a corpus of text documents is classified into themes or topics using word frequency analysis. This approach has proven successful in various biological data analysis applications, such as predicting cancer subtypes with high accuracy and identifying genes, enhancers, and stable cell types simultaneou...

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Literature Corpus work: 8438f95f-2d53-5b68-abc2-adbbbf379c5f
DOI: 10.1101/2022.09.13.507779

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