scTIGER: A Deep-Learning Method for Inferring Gene Regulatory Networks from Case versus Control scRNA-seq Datasets

Inferring gene regulatory networks (GRNs) from single-cell RNA-seq (scRNA-seq) data is an important computational question to find regulatory mechanisms involved in fundamental cellular processes. Although many computational methods have been designed to predict GRNs from scRNA-seq data, they usuall...

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Detalles Bibliográficos
Autores principales: Dautle, Madison, Zhang, Shaoqiang, Chen, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10488287/
https://www.ncbi.nlm.nih.gov/pubmed/37686146
http://dx.doi.org/10.3390/ijms241713339

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10488287/
https://www.ncbi.nlm.nih.gov/pubmed/37686146
http://dx.doi.org/10.3390/ijms241713339

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