TY  - JOUR 
AU  - Chen, Yaojia
AU  - Juan, Liran
AU  - Lv, Xiao
AU  - Shi, Lei
PY  - 2021    
M3  - Review    
TI  - Bioinformatics Research on Drug Sensitivity Prediction   
JO  - Frontiers in Pharmacology  
UR  - https://www.frontiersin.org/article/10.3389/fphar.2021.799712    
VL  - 12      
SN  - 1663-9812
N2  - Modeling-based anti-cancer drug sensitivity prediction has been extensively studied in recent years. While most drug sensitivity prediction models only use gene expression data, the remarkable impacts of gene mutation, methylation, and copy number variation on drug sensitivity are neglected. Drug sensitivity prediction can both help protect patients from some adverse drug reactions and improve the efficacy of treatment. Genomics data are extremely useful for drug sensitivity prediction task. This article reviews the role of drug sensitivity prediction, describes a variety of methods for predicting drug sensitivity. Moreover, the research significance of drug sensitivity prediction, as well as existing problems are well discussed.
ER  -