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Identifying and removing the cell-cycle effect from single-cell RNA-Sequencing data
Single-cell RNA-Sequencing (scRNA-Seq) is a revolutionary technique for discovering and describing cell types in heterogeneous tissues, yet its measurement of expression often suffers from large systematic bias. A major source of this bias is the cell cycle, which introduces large within-cell-type h...
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| Publicado en: | Sci Rep |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Nature Publishing Group
2016
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5037372/ https://ncbi.nlm.nih.gov/pubmed/27670849 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep33892 |
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