This package is for version 3.14 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see RnaSeqSampleSize.
Bioconductor version: 3.14
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 Developer [aut], Yan Guo Developer [aut], Quanhu Sheng Developer [aut], Yu Shyr Developer [aut]
Maintainer: Shilin Zhao Developer <zhaoshilin at gmail.com>
Citation (from within R,
enter citation("RnaSeqSampleSize")
):
To install this package, start R (version "4.1") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("RnaSeqSampleSize")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("RnaSeqSampleSize")
R Script | RnaSeqSampleSize: Sample size estimation by real data | |
Reference Manual | ||
Text | NEWS |
biocViews | DifferentialExpression, ExperimentalDesign, GeneExpression, ImmunoOncology, RNASeq, Sequencing, Software |
Version | 2.4.1 |
In Bioconductor since | BioC 3.1 (R-3.2) (7 years) |
License | GPL (>= 2) |
Depends | R (>= 4.0.0), RnaSeqSampleSizeData |
Imports | biomaRt, edgeR, heatmap3, matlab, KEGGREST, methods, grDevices, graphics, stats, utils, Rcpp (>= 0.11.2) |
LinkingTo | Rcpp |
Suggests | BiocStyle, knitr, testthat |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | RnaSeqSampleSize_2.4.1.tar.gz |
Windows Binary | RnaSeqSampleSize_2.4.1.zip |
macOS 10.13 (High Sierra) | RnaSeqSampleSize_2.4.1.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/RnaSeqSampleSize |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/RnaSeqSampleSize |
Package Short Url | https://bioconductor.org/packages/RnaSeqSampleSize/ |
Package Downloads Report | Download Stats |
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