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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.
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 | 1.8.0 |
Package repository | View on Bioconductor |
Installation |
Install the latest version of this package by entering the following in R:
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