This function enables one to analyze multiple genes using multi-thread version of the foreach function and joins output results from sqtlfinder function. Moreover, it calculates the FDR using P-values of the matrix result data.
The transcriptDb object in the GnomicFeatures package.
met
The option for statistical models.("lm" : analysis using linear regression model, "glm" : analysis using generalized linear mixed model,and "both" : "lm" and "glm").
Ncor
The number of cores for multi-threads.
bplotout
A directory saving boxplots
cutFDR
The false discovery rate value you would like to set threshold.
Value
This function returns the result matrix including SNP markers ID, chromosome number, alternative exons range, intron ranges, alternative type, P value, information of differential median values of expression ratio among genotypes ("sig" if differential median > 0.1 and "not sig" otherwise), gene names, methods ("lm" or "glm").
Author(s)
Seonggyun Han, Sangsoo Kim
References
Lawrence M, Huber W, Pages H, Aboyoun P, Carlson M, Gentleman R, Morgan M, and Carey V. Software for Computing and Annotating Genomic Ranges. PLoS Computational Biology, 9, e1003118. 2013.
Benjamini, Yoav, Hochberg, and Yosef. Controlling the false discovery rate: a practical and powerful approach to multiple testing. Journal of the Royal Statistical Society, Series B 57, 289-300. 1995.
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(IVAS)
Loading required package: GenomicFeatures
Loading required package: BiocGenerics
Loading required package: parallel
Attaching package: 'BiocGenerics'
The following objects are masked from 'package:parallel':
clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
clusterExport, clusterMap, parApply, parCapply, parLapply,
parLapplyLB, parRapply, parSapply, parSapplyLB
The following objects are masked from 'package:stats':
IQR, mad, xtabs
The following objects are masked from 'package:base':
Filter, Find, Map, Position, Reduce, anyDuplicated, append,
as.data.frame, cbind, colnames, do.call, duplicated, eval, evalq,
get, grep, grepl, intersect, is.unsorted, lapply, lengths, mapply,
match, mget, order, paste, pmax, pmax.int, pmin, pmin.int, rank,
rbind, rownames, sapply, setdiff, sort, table, tapply, union,
unique, unsplit
Loading required package: S4Vectors
Loading required package: stats4
Attaching package: 'S4Vectors'
The following objects are masked from 'package:base':
colMeans, colSums, expand.grid, rowMeans, rowSums
Loading required package: IRanges
Loading required package: GenomeInfoDb
Loading required package: GenomicRanges
Loading required package: AnnotationDbi
Loading required package: Biobase
Welcome to Bioconductor
Vignettes contain introductory material; view with
'browseVignettes()'. To cite Bioconductor, see
'citation("Biobase")', and for packages 'citation("pkgname")'.
No methods found in "BiocGenerics" for requests: unlist
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/IVAS/MsqtlFinder.Rd_%03d_medium.png", width=480, height=480)
> ### Name: MsqtlFinder
> ### Title: Find SQTLs in multiple genes.
> ### Aliases: MsqtlFinder
>
> ### ** Examples
>
> sampleDB <- system.file("extdata", "sampleDB", package="IVAS")
> sample.Txdb <- loadDb(sampleDB)
> data(sampleexp)
> data(samplesnp)
> data(samplesnplocus)
> #final.result <- MsqtlFinder(sampleexp,samplesnp,samplesnplocus,sample.Txdb,"lm",1)
>
>
>
>
>
> dev.off()
null device
1
>