Comparison Analysis of Biclustering Algorithms with the use of Artificial Data and Gene Expression Profiles

The paper presents the research concerning comparison analysis of biclustering algorithms effectiveness with the use of artificial data and gene expression profiles. Internal biclustering quality criterion is proposed as the result of the simulation. The change of this criterion has high correlation with Jaccard index, which was calculated for perfect and obtained biclustering. The technology of bicluster analysis based on “ensemble” method was proposed as the structural block-chart of step-by-step information processing to determine the optimal biclustering level using internal biclustering quality criterion.