Liver.Muscle {sdef} | R Documentation |
This dataset contains two lists of p-values obtained from a publicly available experiment to evaluate differential expression between diabetes susceptibility in liver and skeletal muscle of obese and normal mice.
data(Liver.Muscle)
The format is: a matrix with 2912 rows and two columns. For each gene (row) it reports the p-values of being differentially expressed between obese and normal mice for the two tissues (columns).
http://www.ncbi.nlm.nih.gov/geo, accession number GDS1443
Lan H, Rabaglia ME, Stoehr JP, Nadler ST et al. Gene expression profiles of non diabetic and diabetic obese mice suggest a role of hepatic lipogenic capacity in diabetes susceptibility. Diabetes 2003 Mar;52(3):688-700.
#data(Liver.Muscle) #Th<- ratio(data=Liver.Muscle) #Rh<- baymod(iter=100,output.ratio=Th) #MC<- Tmc(iter=100,output.ratio=Th) #The gene names can be obtained using the command dimnames: #feat.names = dimnames(Liver.Muscle)[[1]] #feat.lists <- extractFeatures.R(output.ratio=Th,output.bay=Rh,feat.names=feat.names,h=NULL) #feat.lists.T <- extractFeatures.T(output.ratio=Th,feat.names=feat.names) #output.table <- createTable(output.ratio=Th,output.bay=Rh)