PengNi/dSimer: Integration of Disease Similarity Methods
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.
Getting started
Browse package contents
Package details |
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| Author | Min Li <limin@mail.csu.edu.cn>, Peng Ni <nipeng@csu.edu.cn> with contributions from Zhihui Fei and Ping Huang. |
| Bioconductor views | Network Software Visualization |
| Maintainer | Peng Ni <nipeng@csu.edu.cn> |
| License | GPL (>= 2) |
| Version | 1.1.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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