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

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. The key...

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Detalles Bibliográficos
Autores principales: Hu, Lingzhi, Fu, Chengzhou, Ren, Zhonglu, Cai, Yongming, Yang, Jin, Xu, Siwen, Xu, Wenhua, Tang, Deyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9896467/
https://www.ncbi.nlm.nih.gov/pubmed/36737694
http://dx.doi.org/10.1186/s12859-023-05153-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9896467/
https://www.ncbi.nlm.nih.gov/pubmed/36737694
http://dx.doi.org/10.1186/s12859-023-05153-y

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