期刊
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
卷 115, 期 30, 页码 7723-7728出版社
NATL ACAD SCIENCES
DOI: 10.1073/pnas.1805681115
关键词
coupled clustering; NMF; single-cell genomic data
资金
- National Institutes of Health [R01HG007834, R01GM109836, P50HG007735]
- Strategic Priority Research Program of the Chinese Academy of Sciences [XDB13000000]
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.
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