topconfects
Top Confident Effect Sizes
Bioconductor version: 3.23 · Package version: 1.28.0
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
| Maintainer | Paul Harrison <paul.harrison@monash.edu> |
| Author | Paul Harrison [aut, cre] (ORCID: <https://orcid.org/0000-0002-3980-268X>) |
| License | LGPL-2.1 | file LICENSE |
| URL | https://github.com/pfh/topconfects |
| Bug Reports | https://github.com/pfh/topconfects/issues |
| Downloads rank | 378 |
| Source branch | RELEASE_3_23 |
| biocViews | DifferentialExpression, GeneExpression, MultipleComparison, RNASeq, Regression, Software, Transcriptomics, mRNAMicroarray |
Documentation
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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