Bagged Biclustering for Microarray Data

摘要

One of the major tools of transcriptomics is the biclustering that simultaneously constructs a partition of both examples and genes. Several methods have been proposed for microarray data analysis that enables to identify groups of genes with similar expression profiles only under a subset of examples. We propose to improve the quality of these biclustering methods by using an ensemble approach. Our bagged biclustering method generates a collection of biclusters using the bootstrap samples of the original data and aggregate them into new biclusters. Our method improve the performance of biclustering on artificial and real datasets.