—Accumulating evidence suggests that biological systems exhibit modular organization. Accurate identification of modularity is vital for understanding this organization. A recen...
Roger L. Chang, Feng Luo, Stuart Johnson, Richard ...
Many areas of modern biology are concerned with the management, storage, visualization, comparison, and analysis of networks. For instance, networks are used to model signal trans...
A popular model for gene regulatory networks is the Boolean network model. In this paper, we propose an algorithm to perform an analysis of gene regulatory interactions using the B...
Carlos H. A. Higa, Vitor H. P. Louzada, Ronaldo Fu...
We present an analysis of concentration-of-expectation phenomena in layered Bayesian networks that use generalized linear models as the local conditional probabilities. This frame...
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...