Cargando…
Drug–target interaction prediction based on protein features, using wrapper feature selection
Drug–target interaction prediction is a vital stage in drug development, involving lots of methods. Experimental methods that identify these relationships on the basis of clinical remedies are time-taking, costly, laborious, and complex introducing a lot of challenges. One group of new methods is ca...
Autores principales: | Abbasi Mesrabadi, Hengame, Faez, Karim, Pirgazi, Jamshid |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9984486/ https://www.ncbi.nlm.nih.gov/pubmed/36869062 http://dx.doi.org/10.1038/s41598-023-30026-y |
Ejemplares similares
-
Improving prediction of drug-target interactions based on fusing multiple features with data balancing and feature selection techniques
por: Khojasteh, Hakimeh, et al.
Publicado: (2023) -
An Efficient hybrid filter-wrapper metaheuristic-based gene selection method for high dimensional datasets
por: Pirgazi, Jamshid, et al.
Publicado: (2019) -
Artificial Intelligence based wrapper for high dimensional feature selection
por: Jain, Rahi, et al.
Publicado: (2023) -
Ranking of characteristic features in combined wrapper approaches to selection
por: Stańczyk, Urszula
Publicado: (2014) -
An improved wrapper-based feature selection method for machinery fault diagnosis
por: Hui, Kar Hoou, et al.
Publicado: (2017)