Estimate the detectable probe ratio of each probe, sample or just return an AP matrix
Usage
detectionCall(x.lumi, Th = 0.01, type = c('probe', 'sample', 'matrix'))
Arguments
x.lumi
a LumiBatch or MethyLumiM object
Th
the threshold. By default, when the detection p-value is less than 0.01, we suppose it is detectable. For the old version of BeadStudio output (version 2 or earlier), the threshold will automatically transferred as 1 - Th, because in the old format, value close to 1 is suppose to be detectable.
type
determine to calculate the detection count by probe or by sample
Value
If the type is 'probe', then returns the presentCount of each probe. If the type is 'sample', then return the detectable probe ratio of each sample. If the type is 'matrix', then return the AP matrix, in which 'A' represents absent (the detect p-value less than threshold) and 'P' represents present.
Author(s)
Pan Du
See Also
lumiQ
Examples
## load example data
data(example.lumi)
## load example data
data(example.lumi)
## estimate the detect call (percentage of expressed genes) of each sample
temp <- detectionCall(example.lumi, type='sample')
print(temp)
## estimate the present count of each gene (probe)
temp <- detectionCall(example.lumi, type='probe')
hist(temp)
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
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> library(lumi)
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")'.
Setting options('download.file.method.GEOquery'='auto')
Setting options('GEOquery.inmemory.gpl'=FALSE)
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/lumi/detectionCall.Rd_%03d_medium.png", width=480, height=480)
> ### Name: detectionCall
> ### Title: Estimate the detectable probe ratio
> ### Aliases: detectionCall
> ### Keywords: methods
>
> ### ** Examples
>
> ## load example data
> data(example.lumi)
> ## load example data
> data(example.lumi)
>
> ## estimate the detect call (percentage of expressed genes) of each sample
> temp <- detectionCall(example.lumi, type='sample')
> print(temp)
A01 A02 B01 B02
4310 4491 4559 4558
attr(,"threshold")
[1] 0.01
>
> ## estimate the present count of each gene (probe)
> temp <- detectionCall(example.lumi, type='probe')
> hist(temp)
>
>
>
>
>
>
> dev.off()
null device
1
>