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All functions

cd8ip_features_distribution
A data.frame with feature distribution simulated from kernel-density estimates based on the training data.
compute_vst()
Apply DESeq2::vst() transformation to the data.
ecdf_pvals()
Given a matrix of observations, computes p-values for out of range features.
get_n_out_of_range()
Given a matrix of observations, computes how many features are out of range.
load_simulated_counts()
Simulated RNA-Seq counts, an Biobase::ExpressionSet object.
predict_cd8ip()
Predict a CD8 immune phenotype using RNA-Seq data.
two_sided_p()
Computes a two-sided p-value from a one-sided p-value.