Cargando…
Detecting differentially expressed genes for syndromes by considering change in mean and dispersion simultaneously
BACKGROUND: Using next-generation sequencing technology to measure gene expression, an empirically intriguing question concerns the identification of differentially expressed genes across treatment groups. Existing methods aim to identify genes whose mean expressions differ among treatment groups by...
Autores principales: | Ma, Chenchen, Ji, Tieming |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6148965/ https://www.ncbi.nlm.nih.gov/pubmed/30236056 http://dx.doi.org/10.1186/s12859-018-2354-4 |
Ejemplares similares
-
Aging Shapes the Population-Mean and -Dispersion of Gene Expression in Human Brains
por: Brinkmeyer-Langford, Candice L., et al.
Publicado: (2016) -
Identification of differentially expressed genes by means of outlier detection
por: Irigoien, Itziar, et al.
Publicado: (2018) -
Modeling allele-specific expression at the gene and SNP levels simultaneously by a Bayesian logistic mixed regression model
por: Xie, Jing, et al.
Publicado: (2019) -
An empirical bayesian approach for testing gene expression fold change and its application in detecting global dosage effects
por: Guo, Zhenxing, et al.
Publicado: (2020) -
Detection of genes with differential expression dispersion unravels the role of autophagy in cancer progression
por: Le Priol, Christophe, et al.
Publicado: (2023)