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Bioconductor - RnaSeqSampleSize

RnaSeqSampleSize

This package is for version 3.21 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see RnaSeqSampleSize.

Bioconductor version: Release (3.21)

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")): Installation

To install this package, start R (version "4.5") 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.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("RnaSeqSampleSize")
RnaSeqSampleSize: Sample size estimation by real data PDF R Script Reference Manual PDF NEWS Text Details biocViews DifferentialExpression, ExperimentalDesign, GeneExpression, ImmunoOncology, RNASeq, Sequencing, Software Version 2.18.0 In Bioconductor since BioC 3.1 (R-3.2) (10 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 System Requirements URL See More Package Archives

Follow Installation instructions to use this package in your R session.


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