Cargando…
A gene interaction network-based method to measure the common and heterogeneous mechanisms of gynecological cancer
Gynecological malignancies are a leading cause of mortality in the female population. The present study intended to identify the association between three severe types of gynecological cancer, specifically ovarian cancer, cervical cancer and endometrial cancer, and to identify the connective driver...
Autores principales: | Wang, Mingyuan, Li, Liping, Liu, Jinglan, Wang, Jinjin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6059674/ https://www.ncbi.nlm.nih.gov/pubmed/29749503 http://dx.doi.org/10.3892/mmr.2018.8961 |
Ejemplares similares
-
Systematic prediction of key genes for ovarian cancer by co‐expression network analysis
por: Wang, Mingyuan, et al.
Publicado: (2020) -
Clinical significance of intratumor heterogeneity for gynecological carcinoma
por: Yang, Ying-Chao, et al.
Publicado: (2015) -
Some Common Mistakes in Gynecological Diagnosis
por: Webster, J. C.
Publicado: (1898) -
Characterization Method of Damage Information Based on Heterogeneous Network
por: Huang, Tong, et al.
Publicado: (2023) -
SOX9: Advances in Gynecological Malignancies
por: Chen, Huan, et al.
Publicado: (2021)