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The goal of this R package is to partition a bipartite network into non-overlapping biclusters by maximizing bipartite modularity defined in Barber (2007) using the bipartite version of the algorithm described in Treviño (2015).
The package contains C/C++ code that needs compilation.
PATH by the follwing command:write('PATH="${RTOOLS40_HOME}\\usr\\bin;${PATH}"', file = "~/.Renviron", append = TRUE)Mac users can install Xcode from the Mac AppStore.
Linux users can install a compiler and various development libraries (details vary across different flavors of Linux).
More details can be found in documents of RStudio or R.
Use the following command to install the released version of the package from CRAN, where pre-compiled “binary packages” might be available.
install.packages("BipartiteModularityMaximization")Once you set up the compiler, you can install the latest version of the package from GitHub with:
install.packages("remotes")
remotes::install_github("DIVA-Lab-UTMB/BipartiteModularityMaximization")This is a basic example which shows you how to use the main function
bipmod (short for bipartite modularity) to partition the
example bipartite network (represented as an incidence matrix of 798
rows and 8 columns):
## basic example code
library(BipartiteModularityMaximization)
data(example_data)
str(example_data)
#> 'data.frame': 798 obs. of 8 variables:
#> $ Symptom_1: int 1 1 0 1 1 1 0 1 0 0 ...
#> $ Symptom_2: int 1 1 0 1 1 1 0 1 1 0 ...
#> $ Symptom_3: int 1 1 0 1 0 0 0 0 1 0 ...
#> $ Symptom_4: int 1 1 0 1 1 1 1 1 1 0 ...
#> $ Symptom_5: int 1 1 1 1 0 1 0 1 1 1 ...
#> $ Symptom_6: int 0 1 0 1 1 1 0 1 1 0 ...
#> $ Symptom_7: int 1 1 0 0 1 1 1 1 1 0 ...
#> $ Symptom_8: int 1 0 1 1 1 1 0 1 1 0 ...
Q_part=bipmod(example_data)
str(Q_part)
#> List of 2
#> $ MODULARITY: num 0.262
#> $ ASSIGN : int [1:806] 2 2 2 4 4 2 3 2 4 2 ...Please read the documentation using ?bipmod or
?example_data for more details.
The biclusters can be visualized using ExplodeLayout or epl described in Bhavnani (2017). A more convenient wrapper of BipartiteModularityMaximization and ExplodeLayout can be found in UtilitiesDIVA.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.