Using interpretable deep learning to model cancer dependencies

MOTIVATION: Cancer dependencies provide potential drug targets. Unfortunately, dependencies differ among cancers and even individuals. To this end, visible neural networks (VNNs) are promising due to robust performance and the interpretability required for the biomedical field. RESULTS: We design Bi...

Descripción completa

Detalles Bibliográficos
Autores principales: Lin, Chih-Hsu, Lichtarge, Olivier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8428607/
https://www.ncbi.nlm.nih.gov/pubmed/34042953
http://dx.doi.org/10.1093/bioinformatics/btab137

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8428607/
https://www.ncbi.nlm.nih.gov/pubmed/34042953
http://dx.doi.org/10.1093/bioinformatics/btab137

Ejemplares similares