Cargando…
Identification of Common Prognostic Gene Expression Signatures with Biological Meanings from Microarray Gene Expression Datasets
Numerous prognostic gene expression signatures for breast cancer were generated previously with few overlap and limited insight into the biology of the disease. Here we introduce a novel algorithm named SCoR (Survival analysis using Cox proportional hazard regression and Random resampling) to apply...
Autores principales: | Yao, Jun, Zhao, Qi, Yuan, Ying, Zhang, Li, Liu, Xiaoming, Yung, W. K. Alfred, Weinstein, John N. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3448701/ https://www.ncbi.nlm.nih.gov/pubmed/23029298 http://dx.doi.org/10.1371/journal.pone.0045894 |
Ejemplares similares
-
Prognostic gene expression signatures of breast cancer are lacking a sensible biological meaning
por: Manjang, Kalifa, et al.
Publicado: (2021) -
Identification of Genes Expressed in Hyperpigmented Skin using Meta-Analysis of Microarray Datasets
por: Yin, Lanlan, et al.
Publicado: (2015) -
Meta-analysis of multiple microarray datasets reveals a common gene signature of metastasis in solid tumors
por: Daves, Marla H, et al.
Publicado: (2011) -
Methods for evaluating gene expression from Affymetrix microarray datasets
por: Jiang, Ning, et al.
Publicado: (2008) -
Gene Expression Signature in Endemic Osteoarthritis by Microarray Analysis
por: Wang, Xi, et al.
Publicado: (2015)