Cargando…
Similarity-Based Method with Multiple-Feature Sampling for Predicting Drug Side Effects
Drugs can treat different diseases but also bring side effects. Undetected and unaccepted side effects for approved drugs can greatly harm the human body and bring huge risks for pharmaceutical companies. Traditional experimental methods used to determine the side effects have several drawbacks, suc...
Autores principales: | Wu, Zixin, Chen, Lei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8993545/ https://www.ncbi.nlm.nih.gov/pubmed/35401786 http://dx.doi.org/10.1155/2022/9547317 |
Ejemplares similares
-
Inverse similarity and reliable negative samples for drug side-effect prediction
por: Zheng, Yi, et al.
Publicado: (2019) -
Prediction of Drug Side Effects with a Refined Negative Sample Selection Strategy
por: Liang, Haiyan, et al.
Publicado: (2020) -
A unified frame of predicting side effects of drugs by using linear neighborhood similarity
por: Zhang, Wen, et al.
Publicado: (2017) -
Network Neighbors of Drug Targets Contribute to Drug Side-Effect Similarity
por: Brouwers, Lucas, et al.
Publicado: (2011) -
Prediction of Side Effects Using Comprehensive Similarity Measures
por: Seo, Sukyung, et al.
Publicado: (2020)