betaStat

betaStat-methods

betaStat,npGSEAResultBeta-method

betaStat,npGSEAResultBetaCollection-method

An object of type 
    	<code>npGSEAResultBeta</code> or <code>npGSEAResultBetaCollection</code>

object


This function returns the corresponding beta statistic 
which is compared to the reference 
beta distribution for the <code>npGSEA</code> analysis in the gene set in the 
given experiment.


methods

Current gene set enrichment methods rely upon permutations
for inference.  These approaches are computationally expensive
and have minimum achievable p-values based on the number of
permutations, not on the actual observed statistics.  We have
derived three parametric approximations to the permutation
distributions of two gene set enrichment test statistics.  We
are able to reduce the computational burden and granularity
issues of permutation testing with our method, which is
implemented in this package. npGSEA calculates gene set
enrichment statistics and p-values without the computational
cost of permutations.  It is applicable in settings where one
or many gene sets are of interest.  There are also built-in
plotting functions to help users visualize results.

Jessica Larson

npGSEA

Permutation approximation methods for gene set enrichment
analysis (non-permutation GSEA)

betaStat-methods function

<dl>
        <dt><code>signature(object = "npGSEAResultBeta")</code></dt><dd>Returns the beta-statistic 
        	for a <code>npGSEAResultBeta</code> object</dd> <dt><code>signature(object = "npGSEAResultBetaCollection")</code></dt><dd>Returns a list of 
        	the beta-statistics for a <code>npGSEAResultBetaCollection</code> 
            objects (1 for each set)</dd>
</dl> 

Methods

This function returns the corresponding beta statistic 
which is compared to the reference 
beta distribution for the <code>npGSEA</code> analysis in the gene set in the 
given experiment.

betaStat-methods: Methods for Function `betaStat`

Description

Usage

Arguments

Methods

See Also

Examples