Article

A universal approach for integrating super large-scale single-cell transcriptomes by exploring gene rankings

2021-08-24

Abstract excerpt

Advancement in single-cell RNA sequencing leads to exponential accumulation of single-cell expression data. However, there is still lack of tools that could integrate these unlimited accumulation of single-cell expression data. Here, we presented a universal approach iSEEEK for integrating super large-scale single-cell expression via exploring expression rankings of top-expressing genes. We developed iSEEEK with...

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Literature Corpus work: e1f1a5ce-c6fc-56f8-8323-13d420984523
DOI: 10.1101/2021.08.23.457305

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