Evaluation of the Effectiveness of Herbal Components Based on Their Regulatory Signature on Carcinogenic Cancer Cells

Predicting cancer cells’ response to a plant-derived agent is critical for the drug discovery process. Recently transcriptomes advancements have provided an opportunity to identify regulatory signatures to predict drug activity. Here in this study, a combination of meta-analysis and machine learning...

Descripción completa

Detalles Bibliográficos
Autores principales: Esmaeili, Fazileh, Lohrasebi, Tahmineh, Mohammadi-Dehcheshmeh, Manijeh, Ebrahimie, Esmaeil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8621084/
https://www.ncbi.nlm.nih.gov/pubmed/34831362
http://dx.doi.org/10.3390/cells10113139

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8621084/
https://www.ncbi.nlm.nih.gov/pubmed/34831362
http://dx.doi.org/10.3390/cells10113139

Ejemplares similares