Article

cFIT: Integration and transfer learning of single cell transcriptomes, illustrated by fetal brain cell development

2020-08-31

Abstract excerpt

Large, comprehensive collections of scRNA-seq data sets have been generated that allow for the full transcriptional characterization of cell types across a wide variety of biological and clinical conditions. As new methods arise to measure distinct cellular modalities, a key analytical challenge is to integrate these data sets or transfer knowledge from one to the other to better understand cellular identity and f...

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Literature Corpus work: 372e690c-9630-5062-ae8c-b05864838fed
DOI: 10.1101/2020.08.31.276345

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