Computational cluster validation for microarray data analysis: experimental assessment of Clest Consensus Clustering Figure of Merit Gap Statistics and Model Explorer

摘要

BackgroundInferring cluster structure in microarray datasets is a fundamental task for the so-called -omic sciences. It is also a fundamental question in Statistics, Data Analysis and Classification, in particular with regard to the prediction of the number of clusters in a dataset, usually established via internal validation measures. Despite the wealth of internal measures available in the literature, new ones have been recently proposed, some of them specifically for microarray data.