Package: topconfects 1.21.0

Paul Harrison

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.

Authors:Paul Harrison [aut, cre]

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topconfects.pdf |topconfects.html
topconfects/json (API)
NEWS

# Install 'topconfects' in R:
install.packages('topconfects', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/pfh/topconfects/issues

On BioConductor:topconfects-1.21.0(bioc 3.20)topconfects-1.20.0(bioc 3.19)

bioconductor-package

8 exports 1.16 score 29 dependencies 2 dependents 2 mentions

Last updated 2 months agofrom:724d85068d

Exports:confects_plotconfects_plot_medeseq2_confectsedger_confectslimma_confectsnest_confectsnormal_confectsrank_rank_plot

Dependencies:assertthatclicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr

An overview of topconfects

Rendered froman_overview.Rmdusingknitr::rmarkdownon Jun 30 2024.

Last update: 2023-11-18
Started: 2019-09-20

Confident fold change

Rendered fromfold_change.Rmdusingknitr::rmarkdownon Jun 30 2024.

Last update: 2023-11-18
Started: 2016-11-28