A generic parallel framework for inferring large-scale gene regulatory networks from expression profiles: application to Alzheimer's disease network.

The inference of large-scale gene regulatory networks is essential for understanding comprehensive interactions among genes. Most existing methods are limited to reconstructing networks with a few hundred nodes. Therefore, parallel computing paradigms must be leveraged to construct large networks.