MOKPE: drug–target interaction prediction via manifold optimization based kernel preserving embedding
Abstract 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, manif...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2023-07-01
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| Series: | BMC Bioinformatics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12859-023-05401-1 |