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Network embedding-based representation learning for single cell RNA-seq data
Single cell RNA-seq (scRNA-seq) techniques can reveal valuable insights of cell-to-cell heterogeneities. Projection of high-dimensional data into a low-dimensional subspace is a powerful strategy in general for mining such big data. However, scRNA-seq suffers from higher noise and lower coverage tha...
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| Publicado no: | Nucleic Acids Res |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5737094/ https://ncbi.nlm.nih.gov/pubmed/28977434 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/nar/gkx750 |
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