Cargando…
Drug Repositioning through Systematic Mining of Gene Coexpression Networks in Cancer
Gene coexpression network analysis is a powerful “data-driven” approach essential for understanding cancer biology and mechanisms of tumor development. Yet, despite the completion of thousands of studies on cancer gene expression, there have been few attempts to normalize and integrate co-expression...
Autores principales: | Ivliev, Alexander E., ‘t Hoen, Peter A. C., Borisevich, Dmitrii, Nikolsky, Yuri, Sergeeva, Marina G. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5100910/ https://www.ncbi.nlm.nih.gov/pubmed/27824868 http://dx.doi.org/10.1371/journal.pone.0165059 |
Ejemplares similares
-
Drug Target Prediction and Repositioning Using an Integrated Network-Based Approach
por: Emig, Dorothea, et al.
Publicado: (2013) -
Mining integrated semantic networks for drug repositioning opportunities
por: Mullen, Joseph, et al.
Publicado: (2016) -
Systematic drug repositioning through mining adverse event data in ClinicalTrials.gov
por: Su, Eric Wen, et al.
Publicado: (2017) -
HeTDR: Drug repositioning based on heterogeneous networks and text mining
por: Jin, Shuting, et al.
Publicado: (2021) -
Drug Repositioning for Alzheimer’s Disease Based on Systematic ‘omics’ Data Mining
por: Zhang, Ming, et al.
Publicado: (2016)