Cargando…
Fold change rank ordering statistics: a new method for detecting differentially expressed genes
BACKGROUND: Different methods have been proposed for analyzing differentially expressed (DE) genes in microarray data. Methods based on statistical tests that incorporate expression level variability are used more commonly than those based on fold change (FC). However, FC based results are more repr...
Autores principales: | Dembélé, Doulaye, Kastner, Philippe |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3899927/ https://www.ncbi.nlm.nih.gov/pubmed/24423217 http://dx.doi.org/10.1186/1471-2105-15-14 |
Ejemplares similares
-
Comments on: fold change rank ordering statistics: a new method for detecting differentially expressed genes
por: Dembélé, Doulaye, et al.
Publicado: (2016) -
Statistical methods for ranking differentially expressed genes
por: Broberg, Per
Publicado: (2003) -
Distributional fold change test – a statistical approach for detecting differential expression in microarray experiments
por: Farztdinov, Vadim, et al.
Publicado: (2012) -
A Flexible Microarray Data Simulation Model
por: Dembélé, Doulaye
Publicado: (2013) -
Statistical methods for ranking data
por: Alvo, Mayer, et al.
Publicado: (2014)