Cascading genetic networking

Ishikawa, K., Sato, K., Shima, Y., Urabe, L, and Yomo, T. (2004). Expression of cascading genetic network within liposomes. FEBSLett., 576, 387-90. 

K. Ishikawa, K. Sato, Y. Shima, I. Urabe, T. Yomo, Expression of a cascading genetic network within liposomes, FEBS Lett., 2004, 576, 387-390. 

Genetic Network Cascade in Drosophila Segment Development... 

All these genetic factors may interact in still-unknown genetic networks, leading to a cascade of pathogenic events characterized by abnormal protein processing and misfolding with snbseqnent accnmnlation of abnormal proteins (conformational changes), nbiqnitin-proteasome system dysfunction, excitotoxic reactions, oxidative... 

Bayesian network inference is a very useful method to understand and visualize the relationship among various genetic variables of interest. In partieular, its Markov probabilistic inference is quite suitable in eapturing eausal relationships in gene network cascades. However, there still remain many problems to avoid excessive computational time to efficiently update the network structure and to improve accuracy and complexity in network structure inference. It is thus highly recommended that these Bayesian network models be validated both with known true-positive and simulated false-positive network variables and relationships. 

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