dSimer

DOI: 10.18129/B9.bioc.dSimer    

Integration of Disease Similarity Methods

Bioconductor version: Release (3.6)

dSimer is an R package which provides computation of nine methods for measuring disease-disease similarity, including a standard cosine similarity measure and eight function-based methods. The disease similarity matrix obtained from these nine methods can be visualized through heatmap and network. Biological data widely used in disease-disease associations study are also provided by dSimer.

Author: Min Li <limin at mail.csu.edu.cn>, Peng Ni <nipeng at csu.edu.cn> with contributions from Zhihui Fei and Ping Huang.

Maintainer: Peng Ni <nipeng at csu.edu.cn>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("dSimer")

Documentation

HTML	R Script	Integration of Disease Similarity Methods
PDF		Reference Manual
Text		NEWS

Details

biocViews	Network, Software, Visualization
Version	1.4.0
In Bioconductor since	BioC 3.4 (R-3.3) (1.5 years)
License	GPL (>= 2)
Depends	R (>= 3.3.0), igraph (>= 1.0.1)
Imports	stats, Rcpp (>= 0.11.3), ggplot2, reshape2, GO.db, org.Hs.eg.db, AnnotationDbi, graphics
LinkingTo	Rcpp
Suggests	knitr, rmarkdown, BiocStyle
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	dSimer_1.4.0.tar.gz
Windows Binary	dSimer_1.4.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan)	dSimer_1.4.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/dSimer
Package Short Url	http://bioconductor.org/packages/dSimer/
Package Downloads Report	Download Stats