Package: progeny 1.29.0

Aurélien Dugourd

progeny: Pathway RespOnsive GENes for activity inference from gene expression

PROGENy is resource that leverages a large compendium of publicly available signaling perturbation experiments to yield a common core of pathway responsive genes for human and mouse. These, coupled with any statistical method, can be used to infer pathway activities from bulk or single-cell transcriptomics.

Authors:Michael Schubert [aut], Alberto Valdeolivas [ctb], Christian H. Holland [ctb], Igor Bulanov [ctb], Aurélien Dugourd [cre, ctb]

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progeny.pdf |progeny.html
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NEWS

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

Peer review:

Bug tracker:https://github.com/saezlab/progeny/issues

Datasets:

On BioConductor:progeny-1.29.0(bioc 3.21)progeny-1.28.0(bioc 3.20)

systemsbiologygeneexpressionfunctionalpredictiongeneregulation

8.91 score 93 stars 1 packages 245 scripts 903 downloads 5 exports 55 dependencies

Last updated 2 months agofrom:22fe492382. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 08 2024
R-4.5-winNOTEDec 08 2024
R-4.5-linuxNOTEDec 08 2024
R-4.4-winNOTEDec 08 2024
R-4.4-macNOTEDec 08 2024
R-4.3-winNOTEDec 08 2024
R-4.3-macNOTEDec 08 2024

Exports:getModelprogenyprogenyPermprogenyScattersaveProgenyPlots

Dependencies:backportsBHBiobaseBiocGenericsBiocParallelbroomclicodetoolscolorspacecpp11decoupleRdplyrfansifarverformatRfutile.loggerfutile.optionsgenericsggplot2ggrepelgluegridExtragtableisobandlabelinglambda.rlatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmeparallellypillarpkgconfigplyrpurrrR6RColorBrewerRcppreshape2rlangscalessnowstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

PROGENy pathway signatures

Rendered fromprogeny.Rmdusingknitr::rmarkdownon Dec 08 2024.

Last update: 2022-04-20
Started: 2017-09-07