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Semisoft clustering of single-cell data
Motivated by the dynamics of development, in which cells of recognizable types, or pure cell types, transition into other types over time, we propose a method of semisoft clustering that can classify both pure and intermediate cell types from data on gene expression from individual cells. Called sem...
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| I publikationen: | Proc Natl Acad Sci U S A |
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| Huvudupphovsmän: | , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
National Academy of Sciences
2019
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6329952/ https://ncbi.nlm.nih.gov/pubmed/30587579 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1817715116 |
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