Gene classification based on mode space of ICA
YI Ye-qing · Computer Engineering and Applications Journal · 2009
ICA is a statistical method of blind source separation.The gene linear profile model,composed of model profiles and coefficients,is obtained by ICA from gene expression data,so gene classification based on ICA is presented.But a model profile is not consistent with an average profile of a group genes completely,and model profiles are not orthogonal,so the linear profile model can’t express the gene data effectively.This paper proposes the mode space based on ICA,restructure the gene expression data,and introduce a classification method in the space.Experiments show that this method has better performance in gene classification than the method in the linear profile model of genes.