Joint learning of multiple gene networks from single-cell gene expression data

Inferring gene networks from gene expression data is important for understanding functional organizations within cells. With the accumulation of single-cell RNA sequencing (scRNA-seq) data, it is possible to infer gene networks at single cell level. However, due to the characteristics of scRNA-seq d...

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Detalles Bibliográficos
Autores principales: Wu, Nuosi, Yin, Fu, Ou-Yang, Le, Zhu, Zexuan, Xie, Weixin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7527714/
https://www.ncbi.nlm.nih.gov/pubmed/33033579
http://dx.doi.org/10.1016/j.csbj.2020.09.004

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7527714/
https://www.ncbi.nlm.nih.gov/pubmed/33033579
http://dx.doi.org/10.1016/j.csbj.2020.09.004

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