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VoPo leverages cellular heterogeneity for predictive modeling of single-cell data
High-throughput single-cell analysis technologies produce an abundance of data that is critical for profiling the heterogeneity of cellular systems. We introduce VoPo (https://github.com/stanleyn/VoPo), a machine learning algorithm for predictive modeling and comprehensive visualization of the heter...
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| Udgivet i: | Nat Commun |
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Nature Publishing Group UK
2020
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7385162/ https://ncbi.nlm.nih.gov/pubmed/32719375 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-020-17569-8 |
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