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topconfects

Top Confident Effect Sizes

Bioconductor version: 3.24 · Package version: 1.29.0

Rank results by confident effect sizes, while maintaining False Discovery Rate and False Coverage-statement Rate control. Topconfects is an alternative presentation of TREAT results with improved usability, eliminating p-values and instead providing confidence bounds. The main application is differential gene expression analysis, providing genes ranked in order of confident log2 fold change, but it can be applied to any collection of effect sizes with associated standard errors.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("topconfects")

Details

MaintainerPaul Harrison <paul.harrison@monash.edu>
AuthorPaul Harrison [aut, cre] (ORCID: <https://orcid.org/0000-0002-3980-268X>)
LicenseLGPL-2.1 | file LICENSE
URLhttps://github.com/pfh/topconfects
Bug Reportshttps://github.com/pfh/topconfects/issues
Downloads rank570
Source branchdevel
biocViewsDifferentialExpression, GeneExpression, MultipleComparison, RNASeq, Regression, Software, Transcriptomics, mRNAMicroarray

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagetopconfects_1.29.0.tar.gz
Windows binary (x86_64)topconfects_1.29.0.zip
macOS binary (arm64)topconfects_1.29.0.tgz
macOS binary (x86_64)topconfects_1.29.0.tgz
Dependencies

Depends: R (>= 3.6.0)

Imports: methods, utils, stats, assertthat, ggplot2, scales, grid, grDevices

Suggests: limma, edgeR, statmod, DESeq2, ashr, NBPSeq, dplyr, testthat, reshape2, tidyr, readr, org.At.tair.db, AnnotationDbi, knitr, rmarkdown, BiocStyle

Reverse dependencies

Imports Me (2): GeoTcgaData, weitrix