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Integrative analysis of single-cell genomics data by coupled nonnegative matrix factorizations
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Journal Article
Integrative analysis of single-cell genomics data by coupled nonnegative matrix factorizations
2018
Overview
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.
Publisher
National Academy of Sciences
Subject
