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MOKPE: drug–target interaction prediction via manifold optimization based kernel preserving embedding
BACKGROUND: In many applications of bioinformatics, data stem from distinct heterogeneous sources. One of the well-known examples is the identification of drug–target interactions (DTIs), which is of significant importance in drug discovery. In this paper, we propose a novel framework, manifold opti...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10324162/ https://www.ncbi.nlm.nih.gov/pubmed/37407927 http://dx.doi.org/10.1186/s12859-023-05401-1 |