Cargando…
Investigating Multi-cancer Biomarkers and Their Cross-predictability in the Expression Profiles of Multiple Cancer Types
Microarray technology has been widely applied to the analysis of many malignancies, however, integrative analyses across multiple studies are rarely investigated. In this study we performed a meta-analysis on the expression profiles of four published studies analyzing organ donor, benign tissues adj...
Autores principales: | Tseng, George C., Cheng, Chunrong, Yu, Yan Ping, Nelson, Joel, Michalopoulos, George, Luo, Jian-Hua |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Libertas Academica
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2716681/ https://www.ncbi.nlm.nih.gov/pubmed/19652763 |
Ejemplares similares
-
Identification of recurrent fusion genes across multiple cancer types
por: Yu, Yan-Ping, et al.
Publicado: (2019) -
Targeting genomic rearrangements in tumor cells using Cas9-mediated insertion of a suicide gene
por: Chen, Zhang-Hui, et al.
Publicado: (2017) -
High Fidelity Copy Number Analysis of Formalin-Fixed and Paraffin-Embedded Tissues Using Affymetrix Cytoscan HD Chip
por: Yu, Yan P., et al.
Publicado: (2014) -
Gene expression profiles of prostate cancer reveal involvement of multiple molecular pathways in the metastatic process
por: Chandran, Uma R, et al.
Publicado: (2007) -
Genomic Copy Number Variations in the Genomes of Leukocytes Predict Prostate Cancer Clinical Outcomes
por: Yu, Yan P., et al.
Publicado: (2015)