Dynamic slicing is a method designed for dependency detection between a categorical variable and a continuous variable. It could be applied for non-parametric hypothesis testing and gene set enrichment analysis.
|Author||Chao Ye and Bo Jiang|
|Date of publication||2015-11-16 16:20:17|
|Maintainer||Chao Ye <firstname.lastname@example.org>|
|License||GPL (>= 2)|
ds_1: Non-parametric one-sample hypothesis testing via dynamic...
ds_eqp_1: Non-parametric one-sample hypothesis testing via dynamic...
ds_eqp_k: Dependency detection between level k (k > 1) categorical...
ds_gsa: Gene set analysis via dynamic slicing
ds_k: Dependency detection between level k (k > 1) categorical...
ds_test: Hypothesis testing via dynamic slicing
export_res: Export gene set analysis result
gsa_exp: Gene expression matrix in gene set analysis
gsa_label: Sample labels in gene set analysis
gsa_set: Gene set list in gene set analysis
load_cls: Load phenotype file
load_gct: Load gene expression file
load_gmt: Load gene set file
rank_by_s2n: Ranking genes by signal to noise ratio
relabel: Reassigning values of categorical variable
slice_show: Show the slicing result