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Integrative analysis of single-cell genomics data by coupled nonnegative matrix factorizations
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 pro...
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| 出版年: | Proc Natl Acad Sci U S A |
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| 主要な著者: | , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
National Academy of Sciences
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6065048/ https://ncbi.nlm.nih.gov/pubmed/29987051 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1805681115 |
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