ggraph adapts the Grammar of Graphics from ggplot2 for network and graph visualizations. It integrates with tidygraph/igraph data structures, providing a wide range of geoms, layouts (e.g. hive plots, circle packing), and layering methods tailored to hierarchical or relational data.
...Dependencies:
python >= 2.7 version
python packages: rpy2(v2.8.1), pysam(>0.8.4), pybedtools(v0.7.7) and wxpython (only for GUI form)
R with following packages: gplots, ggplot2, RColorBrewer, FactoMineR, kernlab, bnlearn, igraph, fastcluster, caret and ROCR
bedtools (2.16/2.17/2.25)
Manual & different forms of EpiMINE can be downloaded is available under "Browse Files" section
For any help, you can reach us at epimine.help@gmail.com
...In order to find the network partition that maximizes modularity, the software offers five optimization methods to the user: simulated annealing, fast greedy, spectral partitioning, a hybrid of fast greedy and simulated annealing, and a hybrid of spectral partitioning and simulated annealing. The software is implemented in C language and it uses the igraph library for complex network research.
iGraph Framework contains the state of the art graph indexing techniques. This is implemented by using C++. You may use the Microsoft Visual C++ for importing the project and view the source code.
iGraph Demo is the visualization tool for demonstrating the data loading/query processing of these indexing techniques.
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