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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...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2023
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| Materias: | |
| 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 |