Cargando…
Prognostic meta-signature of breast cancer developed by two-stage mixture modeling of microarray data
BACKGROUND: An increasing number of studies have profiled tumor specimens using distinct microarray platforms and analysis techniques. With the accumulating amount of microarray data, one of the most intriguing yet challenging tasks is to develop robust statistical models to integrate the findings....
Autores principales: | Shen, Ronglai, Ghosh, Debashis, Chinnaiyan, Arul M |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2004
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC544889/ https://www.ncbi.nlm.nih.gov/pubmed/15598354 http://dx.doi.org/10.1186/1471-2164-5-94 |
Ejemplares similares
-
A Latent Variable Approach for Meta-Analysis of Gene Expression Data from Multiple Microarray Experiments
por: Choi, Hyungwon, et al.
Publicado: (2007) -
Pathway analysis reveals functional convergence of gene expression profiles in breast cancer
por: Shen, Ronglai, et al.
Publicado: (2008) -
Classification and Selection of Biomarkers in Genomic Data Using LASSO
por: Ghosh, Debashis, et al.
Publicado: (2005) -
Cluster stability scores for microarray data in cancer studies
por: Smolkin, Mark, et al.
Publicado: (2003) -
Integrating Clinical and Multiple Omics Data for Prognostic Assessment across Human Cancers
por: Zhu, Bin, et al.
Publicado: (2017)