indexSeedList: Calculate gene weight

In JiantaoShi/NetGPA: Network-based Gene Prioritization Analysis (NetGPA)

Description

This function is the core function to calculate weight score for a gene.

Usage

indexSeedList(seedListName, dbMatrix)

Arguments

seedListName	A list of vectors which contain gene names in each region.
dbMatrix	Database matrix

Value

A list of vectors which contain gene indexes in each region.

Author(s)

Jiantao Shi

References

Jiantao Shi, Franziska Michor, Winston Hide: NetGPA, a package for network-based gene prioritization analysis.

Examples

# load package and data
library("NetGPA")
data("Example_NetGPA")

# load data base
data(text_2006_12_NetGPA)

# Compare FGF pathway and a random gene set
exampleSeedFGFR <- Example_NetGPA$Cancer_GeneSet[["SIGNALING_BY_FGFR"]]

pGenes <- intersect(exampleSeedFGFR, colnames(text_2006_12_NetGPA))
rGenes <- sample(colnames(text_2006_12_NetGPA), length(pGenes)) 

res    <- NetGPA(as.list(pGenes), pGenes, text_2006_12_NetGPA, progressBar = FALSE)
pTable <- res$queryTable
pTable$group <- "Pathway"

res    <- NetGPA(as.list(rGenes), rGenes, text_2006_12_NetGPA, progressBar = FALSE)
rTable <- res$queryTable
rTable$group <- "Random"

mT <- rbind(pTable, rTable)

boxplot(-log10(queryP)~group, data = mT, ylab = "-log10(p-value)")

JiantaoShi/NetGPA documentation built on Jan. 1, 2021, 9:14 p.m.