One main advantage of our method is its increased sensitivity for finding trans-eQTL hotspots (corresponding to situations where a single SNP is linked to the expression of several genes across the genome).
Usage
hotspotFinder(peak, numgene)
Arguments
peak
A data frame (3 columns) corresponding to the output of the eqtlFinder function or the data frame (9 columns) corresponding to the output of the eqtlClassifier function.
numgene
The minimum of gene to detect.
Value
The output of this function is a list, where each element is a marker. For each marker
there is a data frame with all the eQTLs linked to this marker.
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.
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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(iBMQ)
Loading required package: Biobase
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
Welcome to Bioconductor
Vignettes contain introductory material; view with
'browseVignettes()'. To cite Bioconductor, see
'citation("Biobase")', and for packages 'citation("pkgname")'.
Loading required package: ggplot2
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/iBMQ/hotspotFinder.Rd_%03d_medium.png", width=480, height=480)
> ### Name: hotspotFinder
> ### Title: hotspotFinder
> ### Aliases: hotspotFinder
>
> ### ** Examples
>
> data(PPA.liver)
> cutoff.liver <- calculateThreshold(PPA.liver, 0.2)
> eqtl.liver <- eqtlFinder(PPA.liver, cutoff.liver)
> hotspot.liver <- hotspotFinder(eqtl.liver,20)
>
>
>
>
>
> dev.off()
null device
1
>