CRAN/E | aPEAR

aPEAR

Advanced Pathway Enrichment Analysis Representation

Installation

About

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).

Citation aPEAR citation info
gitlab.com/vugene/aPEAR
Bug report File report

Key Metrics

Version 1.0.0
R ≥ 3.5.0
Published 2023-06-12 320 days ago
Needs compilation? no
License MIT
License File
CRAN checks aPEAR results

Downloads

Yesterday 22 +5%
Last 7 days 114 +10%
Last 30 days 449 +6%
Last 90 days 1.216 -18%
Last 365 days 4.294

Maintainer

Maintainer

Ieva Kerseviciute

kerseviciute.ieva@gmail.com

Authors

Ieva Kerseviciute

aut / cre

Juozas Gordevicius

ths

VUGENE
LLC

cph / fnd

Material

README
NEWS
Reference manual
Package source

Vignettes

An introduction to _aPEAR_

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Depends

R ≥ 3.5.0

Imports

arules
bayesbio
data.table
dplyr
igraph
lsa
MCL
reshape2
tibble
utils
stats
methods
ggplot2
ggrepel
ggforce

Suggests

Spectrum
clusterProfiler
gprofiler2
DOSE
org.Hs.eg.db
testthat ≥ 3.0.0
knitr
rmarkdown
stringr