Cargando…
Cross-Platform Prediction of Gene Expression Signatures
Gene expression signatures can predict the activation of oncogenic pathways and other phenotypes of interest via quantitative models that combine the expression levels of multiple genes. However, as the number of platforms to measure genome-wide gene expression proliferates, there is an increasing n...
Autores principales: | Lin, Shu-Hong, Beane, Lauren, Chasse, Dawn, Zhu, Kevin W., Mathey-Prevot, Bernard, Chang, Jeffrey T. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3828325/ https://www.ncbi.nlm.nih.gov/pubmed/24244455 http://dx.doi.org/10.1371/journal.pone.0079228 |
Ejemplares similares
-
Cyclin D/CDK4/6 activity controls G1 length in mammalian cells
por: Dong, Peng, et al.
Publicado: (2018) -
Consistency of predictive signature genes and classifiers generated using different microarray platforms
por: Fan, X, et al.
Publicado: (2010) -
Gene Expression Signatures That Predict Radiation Exposure in Mice and Humans
por: Dressman, Holly K, et al.
Publicado: (2007) -
Cross-platform Data Analysis Reveals a Generic Gene Expression Signature for Microsatellite Instability in Colorectal Cancer
por: Pačínková, Anna, et al.
Publicado: (2019) -
SIGNATURE: A workbench for gene expression signature analysis
por: Chang, Jeffrey T, et al.
Publicado: (2011)