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....
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2023-02-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12859-023-05153-y |