Extract statistically significant biomarkers
get_significant_biomarker(object, cutoff = 0.5)
object |
|
---|---|
cutoff | cut-off value for composition percentage |
(integer vector) of significant gene index
set.seed(1234) data(simpleArray) simulated_array <- simulated_array simulated_treatment <- simulated_treatment adaptest_out <- adaptest(Y = simulated_array, A = simulated_treatment, W = NULL, n_top = 5, n_fold = 3, learning_library = 'SL.glm', parameter_wrapper = adaptest::rank_DE, absolute = FALSE, negative = FALSE) get_significant_biomarker(adaptest_out)#> [1] 3 5