Drug response prediction using graph representation learning and Laplacian feature selection

Drug response prediction using graph representation learning and Laplacian feature selection

Abstract Background Knowing the responses of a patient to drugs is essential to make personalized medicine practical. Since the current clinical drug response experiments are time-consuming and expensive, utilizing human genomic information and drug molecular characteristics to predict drug response...

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Bibliographic Details
Main Authors: Minzhu Xie, Xiaowen Lei, Jianchen Zhong, Jianxing Ouyang, Guijing Li
Format: Article
Language:English
Published: BMC 2022-12-01
Series:BMC Bioinformatics
Subjects:
Drug response
Learning graph representation
Laplacian feature selection
Network topology feature
Online Access:https://doi.org/10.1186/s12859-022-05080-4

Internet

https://doi.org/10.1186/s12859-022-05080-4

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