Six novel immunoglobulin genes as biomarkers for better prognosis in triple-negative breast cancer by gene co-expression network analysis

Gene co-expression network analysis (GCNA) can detect alterations in regulatory activities in case/control comparisons. We propose a framework to detect novel genes and networks for predicting breast cancer recurrence. Thirty-four prognosis candidate genes were selected based on a literature review....

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Detalles Bibliográficos
Autores principales: Hsu, Huan-Ming, Chu, Chi-Ming, Chang, Yu-Jia, Yu, Jyh-Cherng, Chen, Chien-Ting, Jian, Chen-En, Lee, Chia-Yi, Chiang, Yueh-Tao, Chang, Chi-Wen, Chang, Yu-Tien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6418134/
https://www.ncbi.nlm.nih.gov/pubmed/30872752
http://dx.doi.org/10.1038/s41598-019-40826-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6418134/
https://www.ncbi.nlm.nih.gov/pubmed/30872752
http://dx.doi.org/10.1038/s41598-019-40826-w

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