To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("dSimer")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.5)
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>
Citation (from within R,
enter citation("dSimer")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("dSimer")
HTML | R Script | Integration of Disease Similarity Methods |
Reference Manual | ||
Text | NEWS |
biocViews | Network, Software, Visualization |
Version | 1.2.0 |
In Bioconductor since | BioC 3.4 (R-3.3) (1 year) |
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 |
Follow Installation instructions to use this package in your R session.
Source Package | dSimer_1.2.0.tar.gz |
Windows Binary | dSimer_1.2.0.zip (32- & 64-bit) |
Mac OS X 10.11 (El Capitan) | dSimer_1.2.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/dSimer |
Package Short Url | http://bioconductor.org/packages/dSimer/ |
Package Downloads Report | Download Stats |
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