This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see pandaR.
Bioconductor version: 3.17
Runs PANDA, an algorithm for discovering novel network structure by combining information from multiple complementary data sources.
Author: Dan Schlauch, Joseph N. Paulson, Albert Young, John Quackenbush, Kimberly Glass
Maintainer: Joseph N. Paulson <paulson.joseph at gene.com>, Dan Schlauch <dschlauch at genospace.com>
Citation (from within R,
enter citation("pandaR")
):
To install this package, start R (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("pandaR")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("pandaR")
HTML | R Script | pandaR Package |
Reference Manual |
biocViews | GeneExpression, GeneRegulation, GraphAndNetwork, Microarray, Network, NetworkInference, Software, StatisticalMethod, Transcription |
Version | 1.32.0 |
In Bioconductor since | BioC 3.1 (R-3.2) (8.5 years) |
License | GPL-2 |
Depends | R (>= 3.0.0), methods, Biobase, BiocGenerics |
Imports | matrixStats, igraph, ggplot2, grid, reshape, plyr, RUnit, hexbin |
LinkingTo | |
Suggests | knitr, rmarkdown |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | netZooR |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | pandaR_1.32.0.tar.gz |
Windows Binary | pandaR_1.32.0.zip |
macOS Binary (x86_64) | pandaR_1.32.0.tgz |
macOS Binary (arm64) | pandaR_1.32.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/pandaR |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/pandaR |
Bioc Package Browser | https://code.bioconductor.org/browse/pandaR/ |
Package Short Url | https://bioconductor.org/packages/pandaR/ |
Package Downloads Report | Download Stats |
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