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A Model For In-Silico Knock-Out Experiments ?

I want to assess impact of a knock-out experiment using a simiplified in-silico approach. At the moment, I trying to solve the problem by creating a tissue specific network and see various network properties with and without the gene (that knocked out) and its vertices. Is there any better way to do it using a more robust network/systems based method or something similar to synthetic lethality for non-cancerous phenotype ?

network

1 answer

I read about usage of MIMO models, Hopfield networks and artificial neural networks for this problem. There is a nice recent review on it: http://www.nature.com/nrmicro/journal/v10/n4/full/nrmicro2737.html

Thank you Pappu - that's an incredible article.

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