Cargando…
Integrating mean and variance heterogeneities to identify differentially expressed genes
BACKGROUND: In functional genomics studies, tests on mean heterogeneity have been widely employed to identify differentially expressed genes with distinct mean expression levels under different experimental conditions. Variance heterogeneity (aka, the difference between condition-specific variances)...
Autores principales: | Ouyang, Weiwei, An, Qiang, Zhao, Jinying, Qin, Huaizhen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5139036/ https://www.ncbi.nlm.nih.gov/pubmed/27923367 http://dx.doi.org/10.1186/s12859-016-1393-y |
Ejemplares similares
-
Erratum to: Integrating mean and variance heterogeneities to identify differentially expressed genes
por: Ouyang, Weiwei, et al.
Publicado: (2017) -
Between-groups within-gene heterogeneity of residual variances in microarray gene expression data
por: Casellas, Joaquim, et al.
Publicado: (2008) -
A full Bayesian hierarchical mixture model for the variance of gene differential expression
por: Manda, Samuel OM, et al.
Publicado: (2007) -
Variance component testing for identifying differentially expressed genes in RNA-seq data
por: Yang, Sheng, et al.
Publicado: (2017) -
Maximin design of cluster randomized trials with heterogeneous costs and variances
por: van Breukelen, Gerard J. P., et al.
Publicado: (2021)