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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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Detalles Bibliográficos
Autores principales: Barron, Martin, Li, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5037372/
https://www.ncbi.nlm.nih.gov/pubmed/27670849
http://dx.doi.org/10.1038/srep33892