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>.
