Cargando…
Prediction of Side Effects Using Comprehensive Similarity Measures
Identifying the potential side effects of drugs is crucial in clinical trials in the pharmaceutical industry. The existing side effect prediction methods mainly focus on the chemical and biological properties of drugs. This study proposes a method that uses diverse information such as drug-drug inte...
Autores principales: | Seo, Sukyung, Lee, Taekeon, Kim, Mi-hyun, Yoon, Youngmi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7064827/ https://www.ncbi.nlm.nih.gov/pubmed/32190647 http://dx.doi.org/10.1155/2020/1357630 |
Ejemplares similares
-
Drug repositioning using drug-disease vectors based on an integrated network
por: Lee, Taekeon, et al.
Publicado: (2018) -
Drug voyager: a computational platform for exploring unintended drug action
por: Oh, Min, et al.
Publicado: (2017) -
A unified frame of predicting side effects of drugs by using linear neighborhood similarity
por: Zhang, Wen, et al.
Publicado: (2017) -
Inverse similarity and reliable negative samples for drug side-effect prediction
por: Zheng, Yi, et al.
Publicado: (2019) -
Similarity-Based Method with Multiple-Feature Sampling for Predicting Drug Side Effects
por: Wu, Zixin, et al.
Publicado: (2022)