choose_quantile | Test gene expression variations with the quantile test for... |
choose_threshold | Test gene expression variations for multiple thresholds in a... |
complex_simulation | Simulation of dysregulation that takes in account real datas |
compute_LH_cpp | compute_LH_cpp |
compute_LH_cppNA | compute_LH_cppNA |
compute_lower_and_higher_lists | Compute L and H list in control samples. |
compute_lower_and_higher_lists_1ctrl | Compute L and H list in control sample. |
detect_na_value | Find NA values |
detect_zero_value | Find low values |
draw_penda | Draw penda |
draw_results | Graphic representation of the simulation results |
DU_rearrangement | Reorganization of results matrix after the multiple test. |
group_genes | Group genes with similar expression |
make_dataset | Making the Penda Dataset |
make_dataset_1ctrl | Making the Penda Dataset for one control samples |
penda_data_case | Expression matrix of cases |
penda_data_ctrl | Expression matrix of controls |
penda_test | Test gene expression variations in a serie of samples |
penda_test_1ctrl | Test gene expression variations in a serie of samples |
quantile_test | Simple test of gene expression variations in a serie of... |
regulation_test | Test gene expression variation for a given gene |
regulation_test_1ctrl | Test gene expression variation for a given gene |
results_simulation | Compare the results of the test on the simulation to the... |
sample_test | Test gene expression variations for a given sample |
sample_test_1ctrl | Test gene expression variations for a given sample |
select_quantile_param | Select the better factor and quantile to reach a given FDR. |
select_threshold_param | Select the better threshold to reach a given FDR. |
simplified_simulation | Simplified simulation of data deregulation. |
test_multiple_thresholds | Test gene expression variations for multiple thresholds |
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