A Markov random field model-based approach for differentially expressed gene detection from single-cell RNA-seq data

The development of single-cell RNA-sequencing (scRNA-seq) technologies has offered insights into complex biological systems at the single-cell resolution. In particular, these techniques facilitate the identifications of genes showing cell-type-specific differential expressions (DE). In this paper,...

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Detalles Bibliográficos
Autores principales: Zhu, Biqing, Li, Hongyu, Zhang, Le, Chandra, Sreeganga S, Zhao, Hongyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Problem Solving Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9487630/
https://www.ncbi.nlm.nih.gov/pubmed/35514182
http://dx.doi.org/10.1093/bib/bbac166

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9487630/
https://www.ncbi.nlm.nih.gov/pubmed/35514182
http://dx.doi.org/10.1093/bib/bbac166

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