A simulated SummarizedExperiment object that comprises of 1000 genomic features (rows) and 100 sample profiles (columns). Each row is represented by a vector of binary values (1/0) indicating the presence/absence of the feature in the samples. This simulated data includes 10 left-skewed (i.e. True Positive or TP) and 990 uniformly-distributed (i.e. True Null or TN) features.
data(sim_FS)An object of class SummarizedExperiment from
SummarizedExperiment package containing
an assay of 1000 rows (features)
and 100 columns (samples). Each row is represented by
a vector of binary values (1/0)
indicating the presence/absence of the feature in the samples.
See ?SummarizedExperiment for more details.
a SummarizedExperiment object
Kartha VK, Kern JG, Sebastiani P, Zhang L, Varelas X, Monti S (2019) CaDrA: A computational framework for performing candidate driver analyses using binary genomic features. (Frontiers in Genetics)