Cargando…
Prognostic Genes of Breast Cancer Identified by Gene Co-expression Network Analysis
Breast cancer is one of the most common malignancies. The molecular mechanisms of its pathogenesis are still to be investigated. The aim of this study was to identify the potential genes associated with the progression of breast cancer. Weighted gene co-expression network analysis (WGCNA) was used t...
Autores principales: | Tang, Jianing, Kong, Deguang, Cui, Qiuxia, Wang, Kun, Zhang, Dan, Gong, Yan, Wu, Gaosong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6141856/ https://www.ncbi.nlm.nih.gov/pubmed/30254986 http://dx.doi.org/10.3389/fonc.2018.00374 |
Ejemplares similares
-
Overexpression of ASPM, CDC20, and TTK Confer a Poorer Prognosis in Breast Cancer Identified by Gene Co-expression Network Analysis
por: Tang, Jianing, et al.
Publicado: (2019) -
A prognostic 10‐lncRNA expression signature for predicting the risk of tumour recurrence in breast cancer patients
por: Tang, Jianing, et al.
Publicado: (2019) -
SIX1 Activates STAT3 Signaling to Promote the Proliferation of Thyroid Carcinoma via EYA1
por: Kong, Deguang, et al.
Publicado: (2019) -
Bioinformatic analysis and identification of potential prognostic microRNAs and mRNAs in thyroid cancer
por: Tang, Jianing, et al.
Publicado: (2018) -
Racial disparities of differentiated thyroid carcinoma: clinical behavior, treatments, and long-term outcomes
por: Tang, Jianing, et al.
Publicado: (2018)