Cargando…
Computational models for predicting drug responses in cancer research
The computational prediction of drug responses based on the analysis of multiple types of genome-wide molecular data is vital for accomplishing the promise of precision medicine in oncology. This will benefit cancer patients by matching their tumor characteristics to the most effective therapy avail...
Autor principal: | Azuaje, Francisco |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5862310/ https://www.ncbi.nlm.nih.gov/pubmed/27444372 http://dx.doi.org/10.1093/bib/bbw065 |
Ejemplares similares
-
Mathematical modeling and computational prediction of cancer drug resistance
por: Sun, Xiaoqiang, et al.
Publicado: (2017) -
Hub genes in a pan-cancer co-expression network show potential for predicting drug responses
por: Azuaje, Francisco, et al.
Publicado: (2019) -
Computational modeling of methionine cycle-based metabolism and DNA methylation and the implications for anti-cancer drug response prediction
por: Zhang, Mengying, et al.
Publicado: (2018) -
DrDimont: explainable drug response prediction from differential analysis of multi-omics networks
por: Hiort, Pauline, et al.
Publicado: (2022) -
Drug-target network in myocardial infarction reveals multiple side effects of unrelated drugs
por: Azuaje, Francisco J., et al.
Publicado: (2011)