| covariates {FAMT} | R Documentation |
Covariates data frame
Description
A data frame with 6 covariates in columns and 43 arrays in rows, describing the arrays of the expression dataset. See also expression, annotations
Usage
data(covariates)
Format
A data frame with 43 observations on the following 6 variables.
AfClassa factor with levels
F(Fat)L(Lean)NC(Intermediate) giving the abdominal fatness classArrayNameIdentifying the arrays (character)
Merea factor with 8 levels giving the dam of the offsprings
Lota factor with 4 levels giving the hatch
Pds9sa numeric vector giving the body weight
Afa numeric vector giving the abdominal fatness, the experimental condition of main interest in this example
Source
UMR Genetique Animale - INRA/AGROCAMPUS OUEST - Rennes, France.
References
Blum Y., Le Mignon G., Lagarrigue S. and Causeur S. (2010) - A factor model to analyze heterogeneity in gene expression, BMC Bioinformatics, 11:368.
Le Mignon, G. and Desert, C. and Pitel, F. and Leroux, S. and Demeure, O. and Guernec, G. and Abasht, B. and Douaire, M. and Le Roy, P. and Lagarrigue S. (2009) - Using trancriptome profling to characterize QTL regions on chicken chromosome 5. BMC Genomics, 10:575.
Examples
data(covariates)
dim(covariates)
summary(covariates)