Package: biobroom 1.39.0
biobroom: Turn Bioconductor objects into tidy data frames
This package contains methods for converting standard objects constructed by bioinformatics packages, especially those in Bioconductor, and converting them to tidy data. It thus serves as a complement to the broom package, and follows the same the tidy, augment, glance division of tidying methods. Tidying data makes it easy to recombine, reshape and visualize bioinformatics analyses.
Authors:
biobroom_1.39.0.tar.gz
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biobroom.pdf |biobroom.html✨
biobroom/json (API)
NEWS
# Install 'biobroom' in R: |
install.packages('biobroom', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/storeylab/biobroom/issues
- hammer - ExpressionSet results from Hammer et al 2010
On BioConductor:biobroom-1.39.0(bioc 3.21)biobroom-1.38.0(bioc 3.20)
multiplecomparisondifferentialexpressionregressiongeneexpressionproteomicsdataimport
Last updated 18 days agofrom:360bc048f3. Checks:OK: 1 WARNING: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-win | WARNING | Oct 31 2024 |
R-4.5-linux | WARNING | Oct 31 2024 |
R-4.4-win | WARNING | Oct 31 2024 |
R-4.4-mac | WARNING | Oct 31 2024 |
R-4.3-win | WARNING | Oct 31 2024 |
R-4.3-mac | WARNING | Oct 31 2024 |
Exports:augment_svaaugment.deSetaugment.DGEListaugment.MArrayLMaugment.qvalueglance_svaglance.deSetglance.DGEExactglance.GRangesglance.GRangesListglance.MArrayLMglance.qvaluetidy_svatidy.DESeqDataSettidy.DESeqResultstidy.deSettidy.DGEExacttidy.DGEListtidy.EListtidy.ExpressionSettidy.GRangestidy.GRangesListtidy.MAListtidy.MArrayLMtidy.MSnSettidy.qvaluetidy.RangedSummarizedExperiment
Dependencies:backportsBiobaseBiocGenericsbroomclicpp11dplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigpurrrR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithr