Article

Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space

2021-04-08

Abstract excerpt

<h4>ABSTRACT</h4> Computational tools for integrative analyses of diverse single-cell experiments are facing formidable new challenges including dramatic increases in data scale, sample heterogeneity, and the need to informatively cross-reference new data with foundational datasets. Here, we present SCALEX, a deep-learning method that integrates single-cell data by projecting cells into a batch-invariant, common...

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Literature Corpus work: 004bca96-250c-5732-8cb6-0f552bd5f70a
DOI: 10.1101/2021.04.06.438536

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