Package: RnaSeqSampleSize 2.17.0

Shilin Zhao Developer

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:Shilin Zhao Developer [aut, cre], Chung-I Li [aut], Yan Guo [aut], Quanhu Sheng [aut], Yu Shyr [aut]

RnaSeqSampleSize_2.17.0.tar.gz
RnaSeqSampleSize_2.17.0.zip(r-4.5)RnaSeqSampleSize_2.17.0.zip(r-4.4)RnaSeqSampleSize_2.17.0.zip(r-4.3)
RnaSeqSampleSize_2.17.0.tgz(r-4.4-x86_64)RnaSeqSampleSize_2.17.0.tgz(r-4.4-arm64)RnaSeqSampleSize_2.17.0.tgz(r-4.3-x86_64)RnaSeqSampleSize_2.17.0.tgz(r-4.3-arm64)
RnaSeqSampleSize_2.17.0.tar.gz(r-4.5-noble)RnaSeqSampleSize_2.17.0.tar.gz(r-4.4-noble)
RnaSeqSampleSize_2.17.0.tgz(r-4.4-emscripten)RnaSeqSampleSize_2.17.0.tgz(r-4.3-emscripten)
RnaSeqSampleSize.pdf |RnaSeqSampleSize.html
RnaSeqSampleSize/json (API)
NEWS

# Install 'RnaSeqSampleSize' in R:
install.packages('RnaSeqSampleSize', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3

On BioConductor:RnaSeqSampleSize-2.17.0(bioc 3.21)RnaSeqSampleSize-2.16.0(bioc 3.20)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

immunooncologyexperimentaldesignsequencingrnaseqgeneexpressiondifferentialexpression

5.30 score 20 scripts 254 downloads 13 mentions 12 exports 193 dependencies

Last updated 23 days agofrom:9a5f28dfc9. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-win-x86_64NOTEOct 31 2024
R-4.5-linux-x86_64NOTEOct 31 2024
R-4.4-win-x86_64NOTEOct 31 2024
R-4.4-mac-x86_64NOTEOct 31 2024
R-4.4-mac-aarch64NOTEOct 31 2024
R-4.3-win-x86_64NOTEOct 31 2024
R-4.3-mac-x86_64NOTEOct 31 2024
R-4.3-mac-aarch64NOTEOct 31 2024

Exports:analyze_datasetconvertIdOneToOneest_count_dispersionest_powerest_power_curveest_power_distributionoptimize_parameterplot_gene_counts_rangeplot_mappedReads_percentplot_power_curvesample_sizesample_size_distribution

Dependencies:abindAnnotationDbiaskpassbackportsbase64encBHBiobaseBiocFileCacheBiocGenericsBiocIOBiocParallelbiomaRtBiostringsbitbit64bitopsblobbootbroomBSgenomebslibbumphuntercachemcarcarDatacheckmateclicliprclustercodetoolscolorspacecorrplotcowplotcpp11crayoncurldata.tableDBIdbplyrDelayedArrayderfinderderfinderHelperDerivdigestdoBydoRNGdownloaderdplyredgeRevaluatefansifarverfastclusterfastmapfilelockfontawesomeforeachforeignformatRFormulafsfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicAlignmentsGenomicFeaturesGenomicFilesGenomicRangesGEOqueryggplot2ggpubrggrepelggsciggsignifgluegridExtragtableheatmap3highrHmischmshtmlTablehtmltoolshtmlwidgetshttrhttr2IRangesisobanditeratorsjquerylibjsonliteKEGGRESTknitrlabelinglambda.rlatticelifecyclelimmalme4locfitmagrittrMASSmatlabMatrixMatrixGenericsMatrixModelsmatrixStatsmemoisemgcvmicrobenchmarkmimeminqamodelrmunsellnlmenloptrnnetnumDerivopensslpbkrtestpillarpkgconfigplogrplyrpngpolynomprettyunitsprogresspurrrquantregqvalueR.methodsS3R.ooR.utilsR6rappdirsRColorBrewerRcppRcppEigenRCurlreadrrecountrentrezreshape2restfulrRhtslibrjsonrlangrmarkdownRnaSeqSampleSizeDatarngtoolsrpartRsamtoolsRSQLiterstatixrstudioapirtracklayerrvestS4ArraysS4VectorssassscalesselectrsnowSparseArraySparseMstatmodstringistringrSummarizedExperimentsurvivalsystibbletidyrtidyselecttinytextzdbUCSC.utilsutf8VariantAnnotationvctrsviridisviridisLitevroomwithrxfunXMLxml2XVectoryamlzlibbioc

RnaSeqSampleSize: Sample size estimation by real data

Rendered fromRnaSeqSampleSize.Rnwusingknitr::knitron Oct 31 2024.

Last update: 2022-02-09
Started: 2014-12-13

Readme and manuals

Help Manual

Help pageTopics
analyze_datasetanalyze_dataset
convertIdconvertIdOneToOne
est_count_dispersionest_count_dispersion
est_powerest_power
est_power_curveest_power_curve
est_power_distributionest_power_distribution
optimize_parameteroptimize_parameter
plot_gene_counts_rangeplot_gene_counts_range
plot_mappedReads_percentplot_mappedReads_percent
plot_power_curveplot_power_curve
sample_sizesample_size
sample_size_distributionsample_size_distribution