2013

Chapitre de livre

Biological Knowledge Discovery Handbook: Preprocessing, Mining, and Postprocessing of Biological Data

Microarrays allow measuring the expression level of a large number of genes under different experimental samples or environmental conditions. The data generated from them are called gene expression data. Gene expression data are usually represented by a matrix M, where the ith row represents the ith gene, the jth column represents the jth condition, and the cell m_ij represents the expression level of the th gene under the jth condition. In this chapter, the authors make a survey on biclustering of gene expression data. First, the chapter presents the different types of biclusters and groups of biclusters. Then, it discusses the evaluation functions and systematic and stochastic biclustering algorithms. Finally, the chapter focuses on bicluster validation that can qualitatively evaluate the capacity of an algorithm to extract meaningful biclusters from a biological point of view.

@misc{Freitas13,
	author = {Freitas, A. and Ayadi, W. and Elloumi, M. and Oliveira, J.L. and Hao, J.K.},
    title = {Survey on Biclustering of Gene Expression Data},
   	howpublished = {Biological knowledge discovery handbook: Preprocessing, mining, and postprocessing of biological data, pp. 591–608.},
    year = 2013
}