Article

Coupled Co-clustering-based Unsupervised Transfer Learning for the Integrative Analysis of Single-Cell Genomic Data

2020-03-29

Abstract excerpt

Unsupervised methods, such as clustering methods, are essential to the analysis of single-cell genomic data. Most current clustering methods are designed for one data type only, such as scRNA-seq, scATAC-seq or sc-methylation data alone, and a few are developed for the integrative analysis of multiple data types. Integrative analysis of multimodal single-cell genomic data sets leverages the power in multiple data...

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Literature Corpus work: 16ce3527-77f2-59eb-ae44-be06bd9a2ade
DOI: 10.1101/2020.03.28.013938

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