https://github.com/pfh/topconfects
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Tip revision: a7d43f56f8d284bd8cd4e3b7e31152958945adf2 authored by Paul Harrison on 18 November 2023, 06:12:11 UTC
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Tip revision: a7d43f5
DESCRIPTION
Package: topconfects
Title: Top Confident Effect Sizes
Version: 1.19.1
Authors@R: person("Paul", "Harrison", email = "paul.harrison@monash.edu", role = c("aut", "cre"), comment=c(ORCID="0000-0002-3980-268X"))
Description: 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.
Depends:
    R (>= 3.6.0)
Imports:
    methods,
    utils,
    stats,
    assertthat,
    ggplot2
Suggests:
    limma,
    edgeR,
    statmod,
    DESeq2,
    ashr,
    NBPSeq,
    dplyr,
    testthat,
    reshape2,
    tidyr,
    readr,
    org.At.tair.db,
    AnnotationDbi,
    knitr,
    rmarkdown,
    BiocStyle
License: LGPL-2.1 | file LICENSE
URL: https://github.com/pfh/topconfects
Encoding: UTF-8
RoxygenNote: 7.2.3
VignetteBuilder: knitr
BugReports: https://github.com/pfh/topconfects/issues
biocViews: GeneExpression, DifferentialExpression, Transcriptomics, RNASeq, mRNAMicroarray, Regression, MultipleComparison
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