BioNAR
Biological Network Analysis in R
Bioconductor version: 3.23 · Package version: 1.14.0
the R package BioNAR, developed to step by step analysis of PPI network. The aim is to quantify and rank each protein’s simultaneous impact into multiple complexes based on network topology and clustering. Package also enables estimating of co-occurrence of diseases across the network and specific clusters pointing towards shared/common mechanisms.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("BioNAR") Details
| Maintainer | Anatoly Sorokin <lptolik@gmail.com> |
| Author | Colin Mclean [aut], Anatoly Sorokin [aut, cre], Oksana Sorokina [aut], J. Douglas Armstrong [aut, fnd], T. Ian Simpson [ctb, fnd] |
| License | Artistic-2.0 |
| Bug Reports | https://github.com/lptolik/BioNAR/issues/ |
| Downloads rank | 240 |
| Source branch | RELEASE_3_23 |
| biocViews | GraphAndNetwork, Network, Software |
Documentation
Download
Dependencies
Depends: R (>= 3.5.0), igraph (>= 2.0.1.1), poweRlaw, latex2exp, RSpectra, Rdpack
Imports: stringr, viridis, fgsea, grid, methods, AnnotationDbi, dplyr, GO.db, org.Hs.eg.db (>= 3.19.1), rSpectral, WGCNA, ggplot2, ggrepel, minpack.lm, cowplot, data.table, scales, stats, Matrix
Suggests: knitr, BiocStyle, magick, rmarkdown, igraphdata, testthat (>= 3.0.0), vdiffr, devtools, pander, plotly, randomcoloR