pfh/topconfects: Top Confident Effect Sizes

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.

Getting started

Package details

Bioconductor views DifferentialExpression GeneExpression MultipleComparison RNASeq Regression Transcriptomics mRNAMicroarray
Maintainer
LicenseLGPL-2.1 | file LICENSE
Version1.5.3
URL https://github.com/pfh/topconfects
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("pfh/topconfects")
pfh/topconfects documentation built on Sept. 15, 2020, 6:45 p.m.