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Sensitive detection of rare disease-associated cell subsets via representation learning
Rare cell populations play a pivotal role in the initiation and progression of diseases such as cancer. However, the identification of such subpopulations remains a difficult task. This work describes CellCnn, a representation learning approach to detect rare cell subsets associated with disease usi...
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| Publicado no: | Nat Commun |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5384229/ https://ncbi.nlm.nih.gov/pubmed/28382969 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/ncomms14825 |
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