genes_for_conversiontest

genes


This toy dataset has 100 randomly selected RefSeq genes and can be used to test 
conversion functionality in SMITE


datasets

This package builds on the Epimods framework which
facilitates finding weighted subnetworks ("modules") on
Illumina Infinium 27k arrays using the SpinGlass algorithm, as
implemented in the iGraph package. We have created a class of
gene centric annotations associated with p-values and effect
sizes and scores from any researchers prior statistical results
to find functional modules.

Neil Ari Wijetunga

SMITE

Significance-based Modules Integrating the Transcriptome and
Epigenome

genes_for_conversiontest function

A data frame with 100 observations on the following 1 variables.
  <dl>
    <dt>column1</dt><dd>a character vector of RefSeqGene IDs</dd> </dl> 

Format

This toy dataset has 100 randomly selected RefSeq genes and can be used to test 
conversion functionality in SMITE

genes_for_conversiontest: A small set of RefSeq genes for converting

Description

Usage

Arguments

Value

Format

Examples