Package: dSimer
Type: Package
Title: Integration of Disease Similarity Methods
Version: 1.12.0
Date: 2015-12-10
Authors@R: c(person(given = "Min", family = "Li", email = 
        "limin@mail.csu.edu.cn", role ="aut"), 
        person(given = "Peng", family = "Ni", email = 
        "nipeng@csu.edu.cn", role = c("aut", "cre")), 
        person(given = "Zhihui", family = "Fei", email = 
        "379666774@qq.com", role  = "ctb"), person(given = "Ping", 
        family = "Huang", email = "1615809243@qq.com", role  = "ctb"))
Author: Min Li <limin@mail.csu.edu.cn>, Peng Ni <nipeng@csu.edu.cn>  
        with contributions from Zhihui Fei and Ping Huang.
Maintainer: Peng Ni <nipeng@csu.edu.cn>
Description: 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.
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
Suggests: knitr, rmarkdown, BiocStyle
LinkingTo: Rcpp
License: GPL (>= 2)
biocViews: Software, Visualization, Network
VignetteBuilder: knitr
RoxygenNote: 5.0.1
PackageStatus: Deprecated
git_url: https://git.bioconductor.org/packages/dSimer
git_branch: RELEASE_3_10
git_last_commit: 34f87d4
git_last_commit_date: 2019-10-29
Date/Publication: 2019-10-29
NeedsCompilation: yes
Packaged: 2019-10-30 03:32:39 UTC; biocbuild
Built: R 3.6.1; i386-w64-mingw32; 2019-10-30 13:08:08 UTC; windows
Archs: i386, x64
