Cargando…
A semi-parametric statistical model for integrating gene expression profiles across different platforms
BACKGROUND: Determining differentially expressed genes (DEGs) between biological samples is the key to understand how genotype gives rise to phenotype. RNA-seq and microarray are two main technologies for profiling gene expression levels. However, considerable discrepancy has been found between DEGs...
Autores principales: | Lyu, Yafei, Li, Qunhua |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4895261/ https://www.ncbi.nlm.nih.gov/pubmed/26818110 http://dx.doi.org/10.1186/s12859-015-0847-y |
Ejemplares similares
-
Microarray platform consistency is revealed by biologically functional analysis of gene expression profiles
por: Li, Zhiguang, et al.
Publicado: (2009) -
Digital immunohistochemistry platform for the staining variation monitoring based on integration of image and statistical analyses with laboratory information system
por: Laurinaviciene, Aida, et al.
Publicado: (2014) -
Genome-wide estimation of gender differences in the gene expression of human livers: Statistical design and analysis
por: Delongchamp, Robert R, et al.
Publicado: (2005) -
RefNetBuilder: a platform for construction of integrated reference gene regulatory networks from expressed sequence tags
por: Li, Ying, et al.
Publicado: (2011) -
SNP-PRAGE: SNP-based parametric robust analysis of gene set enrichment
por: Lee, Jaehoon, et al.
Publicado: (2011)