SCING: Inference of robust, interpretable gene regulatory networks from single cell and spatial transcriptomics

Gene regulatory network (GRN) inference is an integral part of understanding physiology and disease. Single cell/nuclei RNA-seq (scRNA-seq/snRNA-seq) data has been used to elucidate cell-type GRNs; however, the accuracy and speed of current scRNAseq-based GRN approaches are suboptimal. Here, we pres...

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Detalles Bibliográficos
Autores principales: Littman, Russell, Cheng, Michael, Wang, Ning, Peng, Chao, Yang, Xia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10331489/
https://www.ncbi.nlm.nih.gov/pubmed/37434694
http://dx.doi.org/10.1016/j.isci.2023.107124

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10331489/
https://www.ncbi.nlm.nih.gov/pubmed/37434694
http://dx.doi.org/10.1016/j.isci.2023.107124

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