Gradient Boosting Decision Tree-Based Method for Predicting Interactions Between Target Genes and Drugs

Gradient Boosting Decision Tree-Based Method for Predicting Interactions Between Target Genes and Drugs

Determining the target genes that interact with drugs—drug–target interactions—plays an important role in drug discovery. Identification of drug–target interactions through biological experiments is time consuming, laborious, and costly. Therefore, using computational approaches to predict candidate...

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Bibliographic Details
Main Authors: Ping Xuan, Chang Sun, Tiangang Zhang, Yilin Ye, Tonghui Shen, Yihua Dong
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-05-01
Series:Frontiers in Genetics
Subjects:
drug–target interaction prediction
class imbalance
ensemble learning
path category-based features
gradient boosting decision tree
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2019.00459/full

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https://www.frontiersin.org/article/10.3389/fgene.2019.00459/full

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