Experimental data analysis in life science generates sophisticated samples requiring statistical analysis, pattern recognition, data mining and other technique. Among novel problems is the High Dimensional Low Sample Size data analysis that appears in genomics requiring a new and specific mathematical technique of analysis.

The support set system technique was introduced here that in integration with the functional pathway data provides the necessary algorithmic models.