Learning important features from multi-view data to predict drug side effects
Abstract The problem of drug side effects is one of the most crucial issues in pharmacological development. As there are many limitations in current experimental and clinical methods for detecting side effects, a lot of computational algorithms have been developed to predict side effects with differ...
Main Authors: | Xujun Liang, Pengfei Zhang, Jun Li, Ying Fu, Lingzhi Qu, Yongheng Chen, Zhuchu Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2019-12-01
|
Series: | Journal of Cheminformatics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13321-019-0402-3 |
Similar Items
-
Predicting Drug Side Effects Using Data Analytics and the Integration of Multiple Data Sources
by: Wei-Po Lee, et al.
Published: (2017-01-01) -
Exploring Feature Selection Scenarios for Deep Learning-based Side-channel Analysis
by: Guilherme Perin, et al.
Published: (2022-08-01) -
Exploring Feature Selection Scenarios for Deep Learning-based Side-channel Analysis
by: Guilherme Perin, et al.
Published: (2022-08-01) -
Identification of drug side effects with a path-based method
by: Meng Jiang, et al.
Published: (2022-04-01) -
Predicting drug combination side effects based on a metapath-based heterogeneous graph neural network
by: Leixia Tian, et al.
Published: (2025-01-01)