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
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