ABSTRACT
In transcriptomic research, miRNA and mRNA are profiled on the same tissue or under the same experimental condition in order to gain insight into how miRNA regulates mRNA, and to select joint miRNA-mRNA biomarkers that are responsible for a phenotypic subtype. Prior to joint analysis of miRNA and mRNA data, the two data types are often normalised to z-scores to ensure comparable variability across them. This chapter discusses how FABIA can be used to integrate miRNA and mRNA data with application to the NCI-60 dataset, discussed in Chapter 1. Note that other biclustering methods can also be used to jointly analyse miRNA and mRNA datasets. mRNA is also called gene in this chapter.
