gene.gene.statistic: Compute gene-gene statistics

In Bioconductor/CoCiteStats: Different test statistics based on co-citation.

Compute gene-gene statistics

Description

Computes gene gene statistics.

Usage

gene.gene.statistic(g1, g2, paperLens = paperLen())

Arguments

g1	The Entrez Gene identifier for one of the genes.
g2	The Entrez Gene identifier for the other gene.
paperLens	A vector with the number of citations for each paper.

Details

For the two genes identified by their Entrez IDs a number of two-way table statistics, i.e. those computed via twTStats, are returned, as are their gene and paper size adjusted variants.

Value

A list with entries

original	The output of twTStats on the observed data.
gs	The output of twTStats on the data scaled for gene size.
ps	The output of twTStats on the data scaled for paper size.
both	The output of twTStats on the data scaled for both paper and gene size.

Author(s)

B. Ding and R. Gentleman

References

Testing Gene Associations Using Co-citation, by B. Ding and R. Gentleman. Bioconductor Technical Report, 2004

See Also

twowayTable

Examples

 g1 = "10"  #Entrez ID for gene 1
 g2 = "101"  #Entrez ID for gene 2
 pLens = paperLen()
 gene.gene.statistic(g1, g2, pLens)

Bioconductor/CoCiteStats documentation built on Oct. 29, 2023, 4:16 p.m.