dSimer

DOI: 10.18129/B9.bioc.dSimer    

This package is for version 3.9 of Bioconductor; for the stable, up-to-date release version, see dSimer.

Integration of Disease Similarity Methods

Bioconductor version: 3.9

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 (version "3.6") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("dSimer")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

PDF		Reference Manual

Details

biocViews	Network, Software, Visualization
Version	1.10.0
In Bioconductor since	BioC 3.4 (R-3.3) (3 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
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Build Report

Package Archives

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

Source Package
Windows Binary	dSimer_1.10.0.zip
Mac OS X 10.11 (El Capitan)	dSimer_1.10.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/dSimer
Source Repository (Developer Access)	git clone [email protected]:packages/dSimer
Package Short Url	https://bioconductor.org/packages/dSimer/
Package Downloads Report	Download Stats