GSEA_EnrichmentScore {TFEA.ChIP} | R Documentation

## Computes the weighted GSEA score of gene.set in gene.list.

### Description

Computes the weighted GSEA score of gene.set in gene.list.

### Usage

    GSEA_EnrichmentScore(gene.list, gene.set, weighted.score.type = 0,
      correl.vector = NULL)

### Arguments

`gene.list` | The ordered gene list
`gene.set` | A gene set, e.g. gene IDs corresponding to a ChIP-Seq experiment's peaks.
`weighted.score.type` | Type of score: weight: 0 (unweighted = Kolmogorov-Smirnov), 1 (weighted), and 2 (over-weighted)
`correl.vector` | A vector with the coorelations (such as signal to noise scores) corresponding to the genes in the gene list

### Value

list of: ES: Enrichment score (real number between -1 and +1) arg.ES: Location in gene.list where the peak running enrichment occurs (peak of the 'mountain') RES: Numerical vector containing the running enrichment score for all locations in the gene list tag.indicator: Binary vector indicating the location of the gene sets (1's) in the gene list

### Examples

    GSEA_EnrichmentScore(gene.list=c('3091','2034','405','55818'),
    gene.set=c('2034','112399','405'))

[Package TFEA.ChIP version 1.6.0 Index]