Article

Batch alignment of single-cell transcriptomics data using deep metric learning

2022-09-20

Abstract excerpt

scRNA-seq has uncovered previously unappreciated levels of heterogeneity. With the increasing scale of scRNA-seq studies, the major challenge is batch effect and accurately detecting the number of cell types, which is inevitable in human studies. The majority of scRNA-seq algorithms have been specifically designed to remove batch effect firstly and then conduct clustering, which may cause loss of some rare cell ty...

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Literature Corpus work: f837eb06-32cf-5535-bb1f-2090fe064026
DOI: 10.21203/rs.3.rs-2049486/v1

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