AGRN: accurate gene regulatory network inference using ensemble machine learning methods

MOTIVATION: Biological processes are regulated by underlying genes and their interactions that form gene regulatory networks (GRNs). Dysregulation of these GRNs can cause complex diseases such as cancer, Alzheimer’s and diabetes. Hence, accurate GRN inference is critical for elucidating gene functio...

Descripción completa

Detalles Bibliográficos
Autores principales: Alawad, Duaa Mohammad, Katebi, Ataur, Kabir, Md Wasi Ul, Hoque, Md Tamjidul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10082608/
https://www.ncbi.nlm.nih.gov/pubmed/37038446
http://dx.doi.org/10.1093/bioadv/vbad032

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10082608/
https://www.ncbi.nlm.nih.gov/pubmed/37038446
http://dx.doi.org/10.1093/bioadv/vbad032

Ejemplares similares