Package: aPEAR 1.0.0

aPEAR: Advanced Pathway Enrichment Analysis Representation

Simplify pathway enrichment analysis results by detecting clusters of similar pathways and visualizing it as an enrichment network, where nodes and edges describe the pathways and similarity between them, respectively. This reduces the redundancy of the overlapping pathways and helps to notice the most important biological themes in the data (Kerseviciute and Gordevicius (2023) <doi:10.1101/2023.03.28.534514>).

Authors:Ieva Kerseviciute [aut, cre], Juozas Gordevicius [ths], VUGENE, LLC [cph, fnd]

aPEAR_1.0.0.tar.gz
aPEAR_1.0.0.zip(r-4.5)aPEAR_1.0.0.zip(r-4.4)aPEAR_1.0.0.zip(r-4.3)
aPEAR_1.0.0.tgz(r-4.4-any)aPEAR_1.0.0.tgz(r-4.3-any)
aPEAR_1.0.0.tar.gz(r-4.5-noble)aPEAR_1.0.0.tar.gz(r-4.4-noble)
aPEAR_1.0.0.tgz(r-4.4-emscripten)aPEAR_1.0.0.tgz(r-4.3-emscripten)
aPEAR.pdf |aPEAR.html
aPEAR/json (API)
NEWS

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

Peer review:

Bug tracker:https://gitlab.com/vugene/apear

On CRAN:

5 exports 0.66 score 51 dependencies 16 scripts 449 downloads

Last updated 12 months agofrom:fd4a13ef98. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 30 2024
R-4.5-winOKAug 30 2024
R-4.5-linuxOKAug 30 2024
R-4.4-winOKAug 30 2024
R-4.4-macOKAug 30 2024
R-4.3-winOKAug 30 2024
R-4.3-macOKAug 30 2024

Exports:aPEAR.methodsaPEAR.themeenrichmentNetworkfindPathClustersplotPathClusters

Dependencies:arulesbayesbioclicolorspacecpp11data.tabledplyrexpmfansifarvergenericsggforceggplot2ggrepelgluegtableigraphisobandlabelinglatticelifecyclelsamagrittrMASSMatrixMCLmgcvmunsellnlmepillarpkgconfigplyrpolyclipR6RColorBrewerRcppRcppEigenreshape2rlangscalesSnowballCstringistringrsystemfontstibbletidyselecttweenrutf8vctrsviridisLitewithr

An introduction to aPEAR

Rendered fromaPEAR-vignette.Rmdusingknitr::rmarkdownon Aug 30 2024.

Last update: 2023-06-08
Started: 2023-06-06