SSELM-neg: spherical search-based extreme learning machine for drug–target interaction prediction

SSELM-neg: spherical search-based extreme learning machine for drug–target interaction prediction

Abstract Background The experimental verification of a drug discovery process is expensive and time-consuming. Therefore, efficiently and effectively identifying drug–target interactions (DTIs) has been the focus of research. At present, many machine learning algorithms are used for predicting DTIs....

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Bibliographic Details
Main Authors: Lingzhi Hu, Chengzhou Fu, Zhonglu Ren, Yongming Cai, Jin Yang, Siwen Xu, Wenhua Xu, Deyu Tang
Format: Article
Language:English
Published: BMC 2023-02-01
Series:BMC Bioinformatics
Subjects:
Drug–target interactions
Drug discovery
Extreme learning machine
Spherical search
Class imbalance
Online Access:https://doi.org/10.1186/s12859-023-05153-y

Internet

https://doi.org/10.1186/s12859-023-05153-y

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