curated_expressiondata

expression_curated


A toy dataset of pre-cleaned gene expression data from RNA-seq.  The file is 
effect and p-value with gene names as rownames.


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

curated_expressiondata function

A data frame with 20819 observations on the following 2 variables.
  <dl>
    <dt>rownames</dt><dd>a character vector specifying gene</dd> <dt>column1</dt><dd>an numeric vector specifying effect (log fold change)</dd> <dt>column2</dt><dd>a numeric vector with a two sided p-value from DESeq 
      analysis</dd> </dl> 

Format

Manuscript in preparation.  Please see 
https://github.com/GreallyLab 
for more details.

Source

A toy dataset of pre-cleaned gene expression data from RNA-seq.  The file is 
effect and p-value with gene names as rownames.

curated_expressiondata: A toy dataset ofcurated RNA-seq to test within SMITE

Description

Usage

Arguments

Value

Format

Source

Details

Examples