Inferring Cellular Networks Using Probabilistic Graphical Models

High-throughput genome-wide molecular assays, which probe cellular networks from different perspectives, have become central to molecular biology and procedures based on well-understood principles for inferring such models from data facilitate a model-based methodology for analysis and discovery.