mnda
Multiplex Network Differential Analysis (MNDA)
Interactions between different biological entities are crucial for the function of biological systems. In such networks, nodes represent biological elements, such as genes, proteins and microbes, and their interactions can be defined by edges, which can be either binary or weighted. The dysregulation of these networks can be associated with different clinical conditions such as diseases and response to treatments. However, such variations often occur locally and do not concern the whole network. To capture local variations of such networks, we propose multiplex network differential analysis (MNDA). MNDA allows to quantify the variations in the local neighborhood of each node (e.g. gene) between the two given clinical states, and to test for statistical significance of such variation. Yousefi et al. (2023) doi:10.1101/2023.01.22.525058.
- Version1.0.9
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release01/25/2023
Team
Behnam Yousefi
Farzaneh Firoozbakht
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Insights
Last 30 days
This package has been downloaded 176 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 7 times.
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Last 365 days
This package has been downloaded 2,356 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Sep 11, 2024 with 24 downloads.
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Dependencies
- Imports11 packages