  Inferring gene interaction network from gene expression data is an important
task in systems biology research. The gene interaction network, especially key
interactions, plays an important role in identifying biomarkers for disease
that further helps in drug design. Ant colony optimization is an optimization
algorithm based on natural evolution and has been used in many optimization
problems. In this paper, we applied ant colony optimization algorithm for
inferring the key gene interactions from gene expression data. The algorithm
has been tested on two different kinds of benchmark datasets and observed that
it successfully identify some key gene interactions.
