Single-cell gene regulation network inference by large-scale data integration

Single-cell ATAC-seq (scATAC-seq) has proven to be a state-of-art approach to investigating gene regulation at the single-cell level. However, existing methods cannot precisely uncover cell-type-specific binding of transcription regulators (TRs) and construct gene regulation networks (GRNs) in singl...

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Detalles Bibliográficos
Autores principales: Dong, Xin, Tang, Ke, Xu, Yunfan, Wei, Hailin, Han, Tong, Wang, Chenfei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Methods Online
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9756951/
https://www.ncbi.nlm.nih.gov/pubmed/36155797
http://dx.doi.org/10.1093/nar/gkac819

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9756951/
https://www.ncbi.nlm.nih.gov/pubmed/36155797
http://dx.doi.org/10.1093/nar/gkac819

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