|
| | | |
Inference of Gene Expression Networks Using Memetic Gene Expression Programming
Zarnegar, A., Vamplew, P. and Stranieri, A.
In this paper we aim to infer a model of genetic networks
from time series data of gene expression profiles by using
a new gene expression programming algorithm. Gene
expression networks are modelled by differential
equations which represent temporal gene expression
relations. Gene Expression Programming is a new
extension of genetic programming. Here we combine a
local search method with gene expression programming
to form a memetic algorithm in order to find not only the
system of differential equations but also fine tune its
constant parameters. The effectiveness of the proposed
method is justified by comparing its performance with
that of conventional genetic programming applied to this
problem in previous studies. |
Cite as: Zarnegar, A., Vamplew, P. and Stranieri, A. (2009). Inference of Gene Expression Networks Using Memetic Gene Expression Programming. In Proc. Thirty-Second Australasian Computer Science Conference (ACSC 2009), Wellington, New Zealand. CRPIT, 91. Mans, B., Ed. ACS. 17-23. |
(from crpit.com)
(local if available)
|
|