Description Usage Arguments Details Value Author(s) References See Also Examples
findDenseRegions
: R implementation of findDenseRegions
.
Extracts histogram bins which counts are larger than a threshold. Only values larger than a given quantile are considered.
1 | findDenseRegions(obs,p=0.9,inte=500,thres=11,off=0)
|
obs |
values for constructing the histogram. |
p |
quantile above which the values of |
inte |
size of the histogram bins. |
thres |
threshold for histogram counts: bin with counts larger equal the threshold are selected. |
off |
offset of the histogram bin positions. |
Extracts histogram bins which counts are larger than a threshold. The threshold is supplied and can be computed according to some assumptions on expected bin counts. Only values larger than a given quantile are considered.
Implementation in R.
list with
m |
vector of locations of the selected bin (middle of bins). |
l |
vector of lengths of the bins. |
pos |
list where each element is a vector of locations of values that contributed to the counts (SNV positions). |
len |
vector of counts or equivalently vector of the number of SNVs. |
Sepp Hochreiter
S. Hochreiter et al., ‘FABIA: Factor Analysis for Bicluster Acquisition’, Bioinformatics 26(12):1520-1527, 2010.
IBDsegment-class
,
IBDsegmentList-class
,
analyzeIBDsegments
,
compareIBDsegmentLists
,
extractIBDsegments
,
findDenseRegions
,
hapFabia
,
hapFabiaVersion
,
hapRes
,
chr1ASW1000G
,
IBDsegmentList2excel
,
identifyDuplicates
,
iterateIntervals
,
makePipelineFile
,
matrixPlot
,
mergeIBDsegmentLists
,
mergedIBDsegmentList
,
plotIBDsegment
,
res
,
setAnnotation
,
setStatistics
,
sim
,
simu
,
simulateIBDsegmentsFabia
,
simulateIBDsegments
,
split_sparse_matrix
,
toolsFactorizationClass
,
vcftoFABIA
1 2 3 4 |
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