Last data update: 2014.03.03

R: hotspotFinder
hotspotFinderR Documentation

hotspotFinder

Description

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.

Examples

data(PPA.liver)
cutoff.liver <- calculateThreshold(PPA.liver, 0.2)
eqtl.liver <- eqtlFinder(PPA.liver, cutoff.liver)
hotspot.liver <- hotspotFinder(eqtl.liver,20)

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
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> 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 
>