Method for creating a network model of a dynamic system of interdependent variables from system observations

摘要

The present invention provides a method to create a Boolean or multilevel logic network model of a dynamic system of interdependent variables from observed system states transitions that can;(1) operate with data consisting of only a fraction of all possible transitions,;(2) accommodate measurement error on these transitions;(3) produce a probability distribution over network functions (rather than simply giving one set of network functions that match the data);(4) support asynchronous activation times for different genes;(5) support varying delays between gene activation and gene expression for different genes;(6) accommodate the stochastic nature of gene network operations;(7) support varying degrees of gene activation (not simply Boolean activation states) and;(8) incorporate prior knowledge of the nature and limitations of the actual network functions being modeled.