ABSTRACT
This chapter presents an overview of various co-expressed patterns and their analysis, followed by an in-depth discussion of approaches, methods, and techniques for co-expressed pattern-finding for microarray, bulkRNA, and scRNA data. It describes a large number of clustering, biclustering, and triclustering methods and their applications in co-expressed pattern-finding for microarray and RNAseq data. It also presents a detailed discussion of network analysis approaches for interesting pattern identification in gene expression data. A systematic discussion of evaluating the identified co-expressed patterns from both statistical and biological perspectives are also part of this chapter.
