gene2pathway_test: A wrapper function to perform gene2pathway test.

In seq2pathway: a novel tool for functional gene-set (or termed as pathway) analysis of next-generation sequencing data

Description

The function includes two part, one runs the classical Fisher's exact test, the other runs novel gene2pathway test.

Usage

gene2pathway_test(dat, DataBase="GOterm", FisherTest=TRUE, EmpiricalTest=FALSE, 
                 method=c("FAIME", "KS-rank", "cumulative-rank"), 
                 genome=c("hg38","hg19","mm10","mm9"), alpha=5, 
                 logCheck=FALSE, na.rm=FALSE, B=100, min_Intersect_Count=5)

Arguments

dat	A data frame of gene expression or a matrix of sequencing-derived gene-level measurements. The rows of dat correspond to genes, and the columns correspond to sample profile (eg. Chip-seq peak scores, somatic mutation p-values, RNS-seq or micro-array gene expression values). Note that the rows must be labeled by official gene symbol. The values contained in dat should be either finite or NA.
DataBase	A character string assigns an R GSA.genesets object to define gene-set. User can call GSA.read.gmt to load customized gene-sets with a .gmt format. If not specified, GO defined gene sets (BP,MF,CC) will be used.
FisherTest	A Boolean value. By default is TRUE to excute the function of the Fisher's exact test. Otherwise, only excutes the function of gene2pathway test.
EmpiricalTest	A Boolean value. By default is FALSE for multiple-sample dat. When true, gene2pathway_test calculates empirical p-values for gene-sets.
method	A character string determines the method to calculate the pathway scores. Currently, "FAIME" (default), "KS-rank", and "cumulative-rank" are supported.
genome	A character specifies the genome type. Currently, choice of "hg38", "hg19", "mm10", and "mm9" is supported.
alpha	A positive integer, 5 by default. This is a FAIME-specific parameter. A higher value puts more weights on the most highly-expressed ranks than the lower expressed ranks.
logCheck	A Boolean value. By default is FALSE. When true, the function takes the log-transformed values of gene if the maximum value of sample profile is larger than 20.
na.rm	A Boolean value indicates whether to keep missing values or not when method="FAIME". By default is FALSE.
B	A positive integer assigns the total number of random sampling trials to calculate the empirical pvalues. By default is 100.
min_Intersect_Count	A number decides the cutoff of the minimum number of intersected genes when reporting Fisher's exact tested results.

Value

A list or data frame. If the parameter "FisherTest" is true, the result is a list including both reports for Fisher's exact test and the gene2pathway test. Otherwise, only reports the gen2pathway tested results.

Author(s)

Xinan Yang

Examples

data(dat_chip)
data(MsigDB_C5,package="seq2pathway.data")  
#generate a demo GSA.genesets object
demoDB <- MsigDB_C5
x=100
for(i in 1:3) demoDB[[i]]<-MsigDB_C5[[i]][1:x]
 
res<-gene2pathway_test(dat=head(dat_chip), DataBase=demoDB, 
		FisherTest=FALSE, EmpiricalTest=FALSE, 
        method="FAIME", genome="hg19", min_Intersect_Count=1)
# check ther result
names(res)
res[[1]]
res[[2]]
## Not run: 
res<-gene2pathway_test(dat=head(dat_chip), DataBase="BP", 
		FisherTest=FALSE, EmpiricalTest=FALSE, 
        method="FAIME", genome="hg19", min_Intersect_Count=1)

## End(Not run)       

seq2pathway documentation built on Nov. 8, 2020, 6:27 p.m.