Package: RnaSeqSampleSize 2.23.0
RnaSeqSampleSize: RnaSeqSampleSize
RnaSeqSampleSize package provides a sample size calculation method based on negative binomial model and the exact test for assessing differential expression analysis of RNA-seq data. It controls FDR for multiple testing and utilizes the average read count and dispersion distributions from real data to estimate a more reliable sample size. It is also equipped with several unique features, including estimation for interested genes or pathway, power curve visualization, and parameter optimization.
Authors:
RnaSeqSampleSize_2.23.0.tar.gz
RnaSeqSampleSize_2.23.0.zip(r-4.7)RnaSeqSampleSize_2.23.0.zip(r-4.6)RnaSeqSampleSize_2.23.0.zip(r-4.5)
RnaSeqSampleSize_2.23.0.tgz(r-4.6-x86_64)RnaSeqSampleSize_2.23.0.tgz(r-4.6-arm64)RnaSeqSampleSize_2.23.0.tgz(r-4.5-x86_64)RnaSeqSampleSize_2.23.0.tgz(r-4.5-arm64)
RnaSeqSampleSize_2.23.0.tar.gz(r-4.7-arm64)RnaSeqSampleSize_2.23.0.tar.gz(r-4.7-x86_64)RnaSeqSampleSize_2.23.0.tar.gz(r-4.6-arm64)RnaSeqSampleSize_2.23.0.tar.gz(r-4.6-x86_64)
RnaSeqSampleSize_2.23.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
RnaSeqSampleSize/json (API)
NEWS
| # Install 'RnaSeqSampleSize' in R: |
| install.packages('RnaSeqSampleSize', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
On BioConductor:RnaSeqSampleSize-2.23.0(bioc 3.24)RnaSeqSampleSize-2.22.0(bioc 3.23)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
immunooncologyexperimentaldesignsequencingrnaseqgeneexpressiondifferentialexpressioncpp
Last updated from:19363e32ea. Checks:1 WARNING, 9 NOTE, 2 OK, 2 ERROR. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | WARNING | 241 | ||
| linux-devel-arm64 | NOTE | 415 | ||
| linux-devel-x86_64 | NOTE | 651 | ||
| source / vignettes | OK | 407 | ||
| linux-release-arm64 | NOTE | 422 | ||
| linux-release-x86_64 | NOTE | 521 | ||
| macos-release-arm64 | NOTE | 335 | ||
| macos-release-x86_64 | ERROR | 536 | ||
| macos-oldrel-arm64 | NOTE | 270 | ||
| macos-oldrel-x86_64 | ERROR | 723 | ||
| windows-devel | NOTE | 441 | ||
| windows-release | NOTE | 466 | ||
| windows-oldrel | NOTE | 469 | ||
| wasm-release | OK | 203 |
Exports:analyze_datasetconvertIdOneToOneest_count_dispersionest_powerest_power_curveest_power_distributionoptimize_parameterplot_gene_counts_rangeplot_mappedReads_percentplot_power_curvesample_sizesample_size_distribution
Dependencies:abindAnnotationDbiaskpassbackportsbase64encBHBiobaseBiocBaseUtilsBiocFileCacheBiocGenericsBiocIOBiocParallelbiomaRtBiostringsbitbit64bitopsblobbootbroomBSgenomebslibbumphuntercachemcarcarDatacheckmatecigarilloclicliprclustercodetoolscolorspacecorrplotcowplotcpp11crayoncurldata.tableDBIdbplyrDelayedArrayderfinderderfinderHelperDerivdigestdoBydoRNGdownloaderdplyredgeRevaluatefarverfastclusterfastmapfilelockfontawesomeforeachforecastforeignformatRFormulafracdifffsfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomicAlignmentsGenomicFeaturesGenomicFilesGenomicRangesGEOqueryggplot2ggpubrggrepelggsciggsignifgluegridExtragtableheatmap3highrHmischmshtmlTablehtmltoolshtmlwidgetshttrhttr2IRangesisobanditeratorsjquerylibjsonliteKEGGRESTknitrlabelinglambda.rlatticelifecyclelimmalme4lmtestlocfitmagrittrMASSmatlabMatrixMatrixGenericsMatrixModelsmatrixStatsmemoisemgcvmicrobenchmarkmimeminqamodelrnlmenloptrnnetnumDerivopensslpbkrtestpillarpkgconfigplyrpngpolynomprettyunitsprogresspurrrquantregqvalueR.methodsS3R.ooR.utilsR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRCurlRdpackreadrrecountreformulasrentrezreshape2restfulrRhtslibrjsonrlangrmarkdownRnaSeqSampleSizeDatarngtoolsrpartRsamtoolsRSQLiterstatixrstudioapirtracklayerrvestS4ArraysS4VectorsS7sassscalesselectrSeqinfosnowSparseArraySparseMstatmodstringistringrSummarizedExperimentsurvivalsystibbletidyrtidyselecttimeDatetinytextzdbUCSC.utilsurcautf8VariantAnnotationvctrsviridisLitevroomwithrxfunXMLxml2XVectoryamlzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| analyze_dataset | analyze_dataset |
| convertId | convertIdOneToOne |
| est_count_dispersion | est_count_dispersion |
| est_power | est_power |
| est_power_curve | est_power_curve |
| est_power_distribution | est_power_distribution |
| optimize_parameter | optimize_parameter |
| plot_gene_counts_range | plot_gene_counts_range |
| plot_mappedReads_percent | plot_mappedReads_percent |
| plot_power_curve | plot_power_curve |
| sample_size | sample_size |
| sample_size_distribution | sample_size_distribution |
