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Matrix factorization and transfer learning uncover regulatory biology across multiple single-cell ATAC-seq data sets
While the methods available for single-cell ATAC-seq analysis are well optimized for clustering cell types, the question of how to integrate multiple scATAC-seq data sets and/or sequencing modalities is still open. We present an analysis framework that enables such integration across scATAC-seq data...
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| Publicado no: | Nucleic Acids Res |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7337516/ https://ncbi.nlm.nih.gov/pubmed/32392348 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/nar/gkaa349 |
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