A nonlinear model and an optimization algorithm to infer genetic interactions
Journal
2009 2nd International Conference on Biomedical Engineering and Informatics
Pages
-
Date Issued
2009
Author(s)
Abstract
An S-shape model and an optimization algorithm (GASA) are developed to infer genetic interactions and transcriptional regulation of a few genes simultaneously using microarray gene expression data (MGED). GASA consists of a genetic algorithm and a simulated annealing (SA) algorithm, which is enhanced by a steepest gradient descent algorithm to avoid being trapped in local minimum. An application of GASA is demonstrated, in which a subnetwork of human T-cell apoptosis is inferred. Several predicted interactions are supported by literature.
Type
conference paper