scGRNom: a computational pipeline of integrative multi-omics analyses for predicting cell-type disease genes and regulatory networks

Understanding cell-type-specific gene regulatory mechanisms from genetic variants to diseases remains challenging. To address this, we developed a computational pipeline, scGRNom (single-cell Gene Regulatory Network prediction from multi-omics), to predict cell-type disease genes and regulatory netw...

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Detalles Bibliográficos
Autores principales: Jin, Ting, Rehani, Peter, Ying, Mufang, Huang, Jiawei, Liu, Shuang, Roussos, Panagiotis, Wang, Daifeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8161957/
https://www.ncbi.nlm.nih.gov/pubmed/34044854
http://dx.doi.org/10.1186/s13073-021-00908-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8161957/
https://www.ncbi.nlm.nih.gov/pubmed/34044854
http://dx.doi.org/10.1186/s13073-021-00908-9

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