Inferring Genetic Regulatory Networks Using Cost-based Abduction and Its Relation to Bayesian Inference

Inferring Genetic Regulatory Networks Using Cost-based Abduction and Its Relation to Bayesian Inference

Inferring Genetic Regulatory Networks (GRN) from multiple data sources is a fundamental problem in computational biology. Computational models for GRN range from simple Boolean networks to stochastic differential equations. To successfully model GRN, a computational method has to be scalable and cap...

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Bibliographic Details
Main Author: Andrews, Emad Abdel-Thalooth
Other Authors: Bonner, Anthony
Language:en_ca
Published: 2014
Subjects:
Genetic Regulatory Networks
Cost-Based Abduction
Bayesian Network
Systems biology
recurrent neural network
Maximum a Posteriori Assignment
reasoning under uncertainty
0715
0800
0984
Online Access:http://hdl.handle.net/1807/65634

Internet

http://hdl.handle.net/1807/65634

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