Package: roastgsa 1.5.0

Adria Caballe

roastgsa: Rotation based gene set analysis

This package implements a variety of functions useful for gene set analysis using rotations to approximate the null distribution. It contributes with the implementation of seven test statistic scores that can be used with different goals and interpretations. Several functions are available to complement the statistical results with graphical representations.

Authors:Adria Caballe [aut, cre]

roastgsa_1.5.0.tar.gz
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roastgsa.pdf |roastgsa.html
roastgsa/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/adricaba/roastgsa/issues

Datasets:

On BioConductor:roastgsa-1.3.0(bioc 3.21)roastgsa-1.4.0(bioc 3.20)

microarraypreprocessingnormalizationgeneexpressionsurvivaltranscriptionsequencingtranscriptomicsbayesianclusteringregressionrnaseqmicrornaarraymrnamicroarrayfunctionalgenomicssystemsbiologyimmunooncologydifferentialexpressiongenesetenrichmentbatcheffectmultiplecomparisonqualitycontroltimecoursemetabolomicsproteomicsepigeneticscheminformaticsexonarrayonechanneltwochannelproprietaryplatformscellbiologybiomedicalinformaticsalternativesplicingdifferentialsplicingdataimportpathways

2.30 score 120 downloads 8 exports 37 dependencies

Last updated 19 days agofrom:5f94c99a75. Checks:ERROR: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesFAILOct 31 2024
R-4.5-winWARNINGOct 31 2024
R-4.5-linuxWARNINGOct 31 2024
R-4.4-winWARNINGOct 31 2024
R-4.4-macWARNINGOct 31 2024
R-4.3-winWARNINGOct 31 2024
R-4.3-macWARNINGOct 31 2024

Exports:heatmaprgsa_hmhtmlrgsaploteffsignaturesizeplotGSEAplotStatsroastgsassGSAvarrotrand

Dependencies:BiobaseBiocGenericsbitopscaToolsclicolorspacefansifarverggplot2gluegplotsgtablegtoolsisobandKernSmoothlabelinglatticelifecyclelimmamagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalesstatmodtibbleutf8vctrsviridisLitewithr