Package: RnaSeqSampleSize 2.17.0
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_2.17.0.tar.gz
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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)
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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')) |
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
Last updated 23 days agofrom:9a5f28dfc9. Checks:OK: 1 NOTE: 8. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-win-x86_64 | NOTE | Oct 31 2024 |
R-4.5-linux-x86_64 | NOTE | Oct 31 2024 |
R-4.4-win-x86_64 | NOTE | Oct 31 2024 |
R-4.4-mac-x86_64 | NOTE | Oct 31 2024 |
R-4.4-mac-aarch64 | NOTE | Oct 31 2024 |
R-4.3-win-x86_64 | NOTE | Oct 31 2024 |
R-4.3-mac-x86_64 | NOTE | Oct 31 2024 |
R-4.3-mac-aarch64 | NOTE | Oct 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
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 |