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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5384229/ https://www.ncbi.nlm.nih.gov/pubmed/28382969 http://dx.doi.org/10.1038/ncomms14825 |