Cargando…
Computationally repurposing drugs for breast cancer subtypes using a network-based approach
‘De novo’ drug discovery is costly, slow, and with high risk. Repurposing known drugs for treatment of other diseases offers a fast, low-cost/risk and highly-efficient method toward development of efficacious treatments. The emergence of large-scale heterogeneous biomolecular networks, molecular, ch...
Autores principales: | Firoozbakht, Forough, Rezaeian, Iman, Rueda, Luis, Ngom, Alioune |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9020161/ https://www.ncbi.nlm.nih.gov/pubmed/35443626 http://dx.doi.org/10.1186/s12859-022-04662-6 |
Ejemplares similares
-
A network-based drug repurposing method via non-negative matrix factorization
por: Sadeghi, Shaghayegh, et al.
Publicado: (2021) -
An Integrative Heterogeneous Graph Neural Network–Based Method for Multi-Labeled Drug Repurposing
por: Sadeghi, Shaghayegh, et al.
Publicado: (2022) -
Predicting Outcomes of Hormone and Chemotherapy in the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) Study by Biochemically-inspired Machine Learning
por: Mucaki, Eliseos J., et al.
Publicado: (2017) -
A Machine Learning Approach for Identifying Gene Biomarkers Guiding the Treatment of Breast Cancer
por: Tabl, Ashraf Abou, et al.
Publicado: (2019) -
A Novel Approach for Identifying Relevant Genes for Breast Cancer
Survivability on Specific Therapies
por: Tabl, Ashraf Abou, et al.
Publicado: (2018)