DOI: 10.18129/B9.bioc.RnaSeqSampleSize  

This package is for version 3.18 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see RnaSeqSampleSize.


Bioconductor version: Development (3.18)

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.

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

Maintainer: Shilin Zhao Developer <zhaoshilin at gmail.com>

Citation (from within R, enter citation("RnaSeqSampleSize")):


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PDF R Script RnaSeqSampleSize: Sample size estimation by real data
PDF   Reference Manual
Text   NEWS


biocViews DifferentialExpression, ExperimentalDesign, GeneExpression, ImmunoOncology, RNASeq, Sequencing, Software
Version 2.11.0
In Bioconductor since BioC 3.1 (R-3.2) (8 years)
License GPL (>= 2)
Depends R (>= 4.0.0), ggplot2, RnaSeqSampleSizeData
Imports biomaRt, edgeR, heatmap3, matlab, KEGGREST, methods, grDevices, graphics, stats, Rcpp (>= 0.11.2), recount, ggpubr, SummarizedExperiment, tidyr, dplyr, tidyselect, utils
LinkingTo Rcpp
Suggests BiocStyle, knitr, testthat
Depends On Me
Imports Me
Suggests Me
Links To Me
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Source Package RnaSeqSampleSize_2.11.0.tar.gz
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