Article

scINSIGHT for interpreting single-cell gene expression from biologically heterogeneous data

2021-10-13

Abstract excerpt

The increasing number of scRNA-seq data emphasizes the need for integrative analysis to interpret similarities and differences between single-cell samples. Even though different batch effect removal methods have been developed, none of the existing methods is suitable for het-erogeneous single-cell samples coming from multiple biological conditions. To address this challenge, we propose a method named scINSIGHT to...

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Literature Corpus work: f5e1915a-edd9-5475-9d0b-25629eb94623
DOI: 10.1101/2021.10.13.464306

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