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Integrative analysis of single-cell genomics data by coupled nonnegative matrix factorizations.

Duren, Zhana; Chen, Xi; Zamanighomi, Mahdi; Zeng, Wanwen; Satpathy, Ansuman T; Chang, Howard Y; Wang, Yong; Wong, Wing Hung.
Proc Natl Acad Sci U S A; 115(30): 7723-7728, 2018 07 24.
Artigo em Inglês | MEDLINE | ID: mdl-29987051
When different types of functional genomics data are generated on single cells from different samples of cells from the same heterogeneous population, the clustering of cells in the different samples should be coupled. We formulate this "coupled clustering" problem as an optimization problem and propose the method of coupled nonnegative matrix factorizations (coupled NMF) for its solution. The method is illustrated by the integrative analysis of single-cell RNA-sequencing (RNA-seq) and single-cell ATAC-sequencing (ATAC-seq) data.
Selo DaSilva