Cargando…
Prognostic factor analysis for breast cancer using gene expression profiles
BACKGROUND: The survival of patients with breast cancer is highly sporadic, from a few months to more than 15 years. In recent studies, the gene expression profiling of tumors has been used as a promising means of predicting prognosis factors. METHODS: In this study, we used gene expression datasets...
Autores principales: | Joe, Soobok, Nam, Hojung |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4959370/ https://www.ncbi.nlm.nih.gov/pubmed/27454576 http://dx.doi.org/10.1186/s12911-016-0292-5 |
Ejemplares similares
-
Prediction model construction of mouse stem cell pluripotency using CpG and non-CpG DNA methylation markers
por: Joe, Soobok, et al.
Publicado: (2020) -
Development of Tissue-Specific Age Predictors Using DNA Methylation Data
por: Choi, Heeyeon, et al.
Publicado: (2019) -
DeSIDE-DDI: interpretable prediction of drug-drug interactions using drug-induced gene expressions
por: Kim, Eunyoung, et al.
Publicado: (2022) -
Comprehensive analysis of gene expression profiles to identify differential prognostic factors of primary and metastatic breast cancer
por: Albogami, Sarah
Publicado: (2022) -
The role of gene expression profiling by microarray analysis for prognostic classification of breast cancer
por: van de Vijver, MJ
Publicado: (2005)