Supervised learning of gene-regulatory networks based on graph distance profiles of transcriptomics data

Characterisation of gene-regulatory network (GRN) interactions provides a stepping stone to understanding how genes affect cellular phenotypes. Yet, despite advances in profiling technologies, GRN reconstruction from gene expression data remains a pressing problem in systems biology. Here, we devise...

Descripción completa

Detalles Bibliográficos
Autores principales: Razaghi-Moghadam, Zahra, Nikoloski, Zoran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327016/
https://www.ncbi.nlm.nih.gov/pubmed/32606380
http://dx.doi.org/10.1038/s41540-020-0140-1