Article
Gene knockout experiments to quantify a G2/M genetic network simulation for mammary cancer susceptibility.
In silico biology - 1 Jan 2006
Bankhead Armand, Magnuson Nancy S, Heckendorn Robert B
Abstract excerpt
A G2/M genetic network simulation is trained with tumor incidence data from knockout experiments. The genetic network is implemented using a neural network; knockout genotypes are simulated by removing nodes in the neural network. Two analyses are used to interpret the resulting network weights. We use a novel approach of fixing the network topology that allows knockout TSG (tumor suppressor gene) data from...
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