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<i>couple</i> CoC+: an information-theoretic co-clustering-based transfer learning framework for the integrative analysis of single-cell genomic data

2021-02-18

Abstract excerpt

Technological advances have enabled us to profile multiple molecular layers at unprecedented single-cell resolution and the available datasets from multiple samples or domains are growing. These datasets, including scRNA-seq data, scATAC-seq data and sc-methylation data, usually have different powers in identifying the unknown cell types through clustering. So, methods that integrate multiple datasets can potentia...

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Literature Corpus work
941a8d2c-a6eb-5ecf-94b0-a31897cf6227
DOI
10.1101/2021.02.17.431728
Open publication

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<i>couple</i> CoC+: an information-theoretic co-clustering-based transfer learning framework for the integrative analysis of single-cell genomic dataDOI 10.1101/2021.02.17.431728
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