Article

Exploring the latent space of transcriptomic data with topic modeling

2024-11-03

Abstract excerpt

The availability of high-dimensional transcriptomic datasets is increasing at a tremendous pace, together with the need for suitable computational tools. Clustering and dimensionality reduction methods are popular go-to methods to identify basic structures in these datasets. At the same time, different topic modeling techniques have been developed to organize the deluge of available data of natural language using...

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Literature Corpus work: 283f7c2f-5703-5e3f-a73d-d0fbfaf6a45d
DOI: 10.1101/2024.10.31.621233

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