Analyzing Gene Expression Data Based on Rough Self-organizing Maps
Miao Duo · 2008
This paper presents an approach using rough set and Boolean reasoning discretization-reduction to improve the rough self-organizing maps,and using it to analyzz gene expression data. This approach can improve the convergence time and obtain the best map scale. We have tested the RSOM on the yeast data set,obtained better map quality and classification result.