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dslice (version 1.1.3)

Dynamic slicing

Description

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.

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Install

install.packages('dslice')

Monthly Downloads

176

Version

1.1.3

License

GPL (>= 2)

Maintainer

Chao Ye

Last Published

November 24th, 2014

Functions in dslice (1.1.3)

ds_test

Hypothesis testing via dynamic slicing

load_cls

Load phenotype file

ds_gsa

Gene set analysis via dynamic slicing

load_gmt

Load gene set file

export_res

Export gene set analysis result

gsa_exp

Gene expression matrix in gene set analysis

ds_eqp_1

Non-parametric one-sample hypothesis testing via dynamic slicing

ds_1

Non-parametric one-sample hypothesis testing via dynamic slicing

slice_show

Show the slicing result

ds_k

Dependency detection between level $k$ ($k > 1$) categorical variable and continuous variable

gsa_set

Gene set list in gene set analysis

relabel

Reassigning values of categorical variable

ds_eqp_k

Dependency detection between level $k$ ($k > 1$) categorical variable and continuous variable

gsa_label

Sample labels in gene set analysis

rank_by_s2n

Ranking genes by signal to noise ratio

load_gct

Load gene expression file