Single_cell_GRN: gene regulatory network identification based on supervised learning method and Single-cell RNA-seq data

Single-cell RNA-seq overcomes the shortcomings of conventional transcriptome sequencing technology and could provide a powerful tool for distinguishing the transcriptome characteristics of various cell types in biological tissues, and comprehensively revealing the heterogeneity of gene expression be...

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Detalles Bibliográficos
Autores principales: Yang, Bin, Bao, Wenzheng, Chen, Baitong, Song, Dan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9188720/
https://www.ncbi.nlm.nih.gov/pubmed/35690842
http://dx.doi.org/10.1186/s13040-022-00297-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9188720/
https://www.ncbi.nlm.nih.gov/pubmed/35690842
http://dx.doi.org/10.1186/s13040-022-00297-8

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