文件名称：decorate:差异表观遗传相关检验
文件大小：3.39MB
文件格式：ZIP
更新时间：2024-04-22 18:43:54
ggplot2 r statistics correlation genomics
装饰：差分表观遗传相关检验 装饰：差分表观遗传相关检验 安装 library( devtools ) # first install sLED install_github( " lingxuez/sLED " ) # Install decorate # first, check for Bioconductor if ( ! requireNamespace( " BiocManager " , quietly = TRUE )){ cat( " Please install Bioconductor before continuing: \n " ) cat( " see http://bioconductor.org/install/ \n\n " ) } else { install_github( ' GabrielHoffman/decorate ' , repos
【文件预览】：
decorate-master
----vignettes()
--------decorate_example.Rmd(13KB)
----NAMESPACE(3KB)
----DESCRIPTION(1KB)
----src()
--------Makevars(548B)
--------Makevars.win(597B)
--------RcppExports.cpp(2KB)
--------corSubsetPairs.cpp(1KB)
--------boxM.cpp(2KB)
----inst()
--------unitTests()
----R()
--------extractCorrelationScores.R(8KB)
--------plotGenes.R(15KB)
--------plots.R(19KB)
--------boxM.R(9KB)
--------random_statistics.R(3KB)
--------sim_data.R(2KB)
--------other_corr_tests.R(8KB)
--------plotCorrPairs.R(6KB)
--------local_correlations.R(39KB)
--------evaluateCorrDecay.R(7KB)
--------RcppExports.R(5KB)
--------iterators.R(4KB)
--------run_sled.R(24KB)
--------combineResults.R(3KB)
--------plotEnsGenes.R(11KB)
----README.md(3KB)
----NEWS(4KB)
----data()
--------decorateData.rda(3.29MB)
----man()
--------plotCompareCorr.Rd(1KB)
--------sle.score.Rd(1KB)
--------boxM_fast.Rd(1003B)
--------plotPairwiseScatter.Rd(1KB)
--------makeImageRect.Rd(469B)
--------decorateData.Rd(660B)
--------plotGenes.Rd(2KB)
--------delaneau.score.Rd(890B)
--------evalDiffCorr-methods.Rd(5KB)
--------epiclust-class.Rd(221B)
--------scoreClusters.Rd(1KB)
--------summary-sLEDresults-method.Rd(365B)
--------getFeaturesInClusterList.Rd(1KB)
--------epiclustDiscreteList-class.Rd(269B)
--------plotCorrDecay.Rd(1KB)
--------epiclustDiscreteListContain-class.Rd(348B)
--------jaccard.Rd(340B)
--------ggplot_by_sampling.Rd(427B)
--------plotScatterPairs.Rd(1KB)
--------sLEDresults-class.Rd(353B)
--------runOrderedClustering.Rd(1KB)
--------evaluateCorrDecay.Rd(1KB)
--------dot-evalDiffCorr.Rd(2KB)
--------sub-epiclustDiscreteListContain-ANY-ANY-ANY-method.Rd(862B)
--------boxM_permute.Rd(1KB)
--------combineResults.Rd(2KB)
--------corrMatrix.test.Rd(979B)
--------runPermutedData.Rd(2KB)
--------plotCorrTriangle.Rd(824B)
--------getClusterRanges.Rd(1KB)
--------filterClusters.Rd(1KB)
--------plotClusterSegments.Rd(457B)
--------delaneau.test.Rd(1KB)
--------extractCorrelationScores.Rd(2KB)
--------whichCluster.Rd(1KB)
--------corSubsetPairs.Rd(1KB)
--------epiclustList-class.Rd(237B)
--------retainClusters.Rd(1KB)
--------createCorrelationMatrix.Rd(1KB)
--------runOrderedClusteringGenome.Rd(2KB)
--------getPeakDistances.Rd(841B)
--------plotEnsGenes.Rd(1KB)
--------collapseClusters.Rd(1KB)
--------getSubset-methods.Rd(880B)
--------createClusters.Rd(1KB)
--------get_exon_coords.Rd(793B)
--------boxM.Rd(673B)
--------countClusters-methods.Rd(948B)
--------plotDecorate.Rd(2KB)
--------getClusterNames.Rd(862B)
--------runFastStat.Rd(887B)
--------sle.test.Rd(2KB)
--------getFeaturesInCluster.Rd(957B)
--------plotDensityPoints.Rd(716B)
----TODO(1KB)
----tests()
--------runTests.R(38B)