DTi2Vec: Drug–target interaction prediction using network embedding and ensemble learning

Drug–target interaction (DTI) prediction is a crucial step in drug discovery and repositioning as it reduces experimental validation costs if done right. Thus, developing in-silico methods to predict potential DTI has become a competitive research niche, with one of its main focuses being improving...

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Detalles Bibliográficos
Autores principales: Thafar, Maha A., Olayan, Rawan S., Albaradei, Somayah, Bajic, Vladimir B., Gojobori, Takashi, Essack, Magbubah, Gao, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8459562/
https://www.ncbi.nlm.nih.gov/pubmed/34551818
http://dx.doi.org/10.1186/s13321-021-00552-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8459562/
https://www.ncbi.nlm.nih.gov/pubmed/34551818
http://dx.doi.org/10.1186/s13321-021-00552-w

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