Bayesian Orthogonal Least Squares (BOLS) algorithm for reverse engineering of gene regulatory networks.

ABSTRACT:

Background

A reverse engineering of gene regulatory network with large number of genes and limited number of experimental data points is a computationally challenging task. In particular, reverse engineering using linear systems is an under-determined and ill conditioned problem, i.e. the amount of microarray data is limited and the solution is very sensitive to noise in the data. Therefore, the reverse engineering of gene regulatory networks with large number of genes and limited number of data points requires rigorous optimization algorithm.

Results

This study presents a novel algorithm for reverse engineering with linear systems. The proposed algorithm is a combination of the orthogonal least squares, second order derivative for network pruning, and Bayesian model compari

SUBMITTER: Kim CS 

PROVIDER: S-EPMC1959566 | biostudies-literature | 2007 Jul

REPOSITORIES: biostudies-literature