This package is for version 3.13 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see SANTA.
Bioconductor version: 3.13
This package provides methods for measuring the strength of association between a network and a phenotype. It does this by measuring clustering of the phenotype across the network (Knet). Vertices can also be individually ranked by their strength of association with high-weight vertices (Knode).
Author: Alex Cornish [cre, aut]
Maintainer: Alex Cornish <alex.cornish at icr.ac.uk>
Citation (from within R,
enter citation("SANTA")
):
To install this package, start R (version "4.1") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("SANTA")
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("SANTA")
HTML | R Script | Introduction to SANTA |
Reference Manual | ||
Text | NEWS |
biocViews | Clustering, Network, NetworkEnrichment, Software |
Version | 2.28.0 |
In Bioconductor since | BioC 2.12 (R-3.0) (8.5 years) |
License | GPL (>= 2) |
Depends | R (>= 4.1), igraph |
Imports | graphics, Matrix, methods, stats |
LinkingTo | |
Suggests | RUnit, BiocGenerics, knitr, formatR, org.Sc.sgd.db, BioNet, DLBCL, msm |
SystemRequirements | |
Enhances | |
URL | |
BugReports | https://github.com/alexjcornish/SANTA |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | SANTA_2.28.0.tar.gz |
Windows Binary | SANTA_2.28.0.zip |
macOS 10.13 (High Sierra) | SANTA_2.28.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/SANTA |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/SANTA |
Package Short Url | https://bioconductor.org/packages/SANTA/ |
Package Downloads Report | Download Stats |
Documentation »
Bioconductor
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: