A Markov random field model for network-based differential expression analysis of single-cell RNA-seq data

BACKGROUND: Recent development of single cell sequencing technologies has made it possible to identify genes with different expression (DE) levels at the cell type level between different groups of samples. In this article, we propose to borrow information through known biological networks to increa...

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Detalles Bibliográficos
Autores principales: Li, Hongyu, Zhu, Biqing, Xu, Zhichao, Adams, Taylor, Kaminski, Naftali, Zhao, Hongyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8549347/
https://www.ncbi.nlm.nih.gov/pubmed/34702190
http://dx.doi.org/10.1186/s12859-021-04412-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8549347/
https://www.ncbi.nlm.nih.gov/pubmed/34702190
http://dx.doi.org/10.1186/s12859-021-04412-0

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