A subset of RNA-Seq data studying the defense response of Arabidopsis thaliana to a bacterial infection. Two treatment groups were analyzed in the study: a mock inoculation ("mock") and a bacteria ("hrcc"). Three independent samples were used for each treatment. The 200 genes in this subset were randomly selected without replacement from the 26,222 genes in the original dataset. The rows in this matrix correspond to genes and the columns correspond to samples. Each individual cell of the matrix contains the counts of the RNA-Seq reads that are mapped to a reference database of known genes.
A 200 by 6 matrix of RNA-Seq read frequencies.
Di, Y., Schafer, D. W., Cumbie, J. S., & Chang, J. H. (2011). The NBP negative binomial model for assessing differential gene expression from RNA-Seq. Statistical Applications in Genetics and Molecular Biology, 10, 1-28.
## These examples may each take a few minutes to compute ## Obtain Dataset data(arabid) ## Analysis of Count Data using Internal and Stability Validation Measures count1 <- optCluster(arabid, 2:4, clMethods = "all", countData = TRUE) topMethod(count1) ## Analysis of Normalized Data using Internal and Stability Validation Measures obj <- t(t(arabid)/colSums(arabid)) ## Normalized with Respect to Library Size norm1 <- optCluster(obj, 2:4, clMethods = "all") topMethod(norm1)
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