title: Integration of diverse microarray data types.
abstract: Over the past decade, DNA microarrays have proven to be a powerful tool in biological research for the molecular surveillance of cells and tissues. The expansive utility of DNA microarrays owes its nascence to the development of a multitude of microarray platforms that enable the systematic and comprehensive exploration of diverse genomic properties and processes. Concomitant with the explosive generation of microarray data over the last several years has been an increasing interest in the integration of such diverse data types, thus spurring the development of novel statistical techniques and integrative bioinformatics tools. This chapter will outline general approaches to microarray data integration and provide an introduction to DR-Integrator, a broadly useful analysis tool for the integration of DNA copy number and gene-expression microarray data.
authors.affiliation: Departments of Pathology and Genetics, Stanford University, Stanford, CA, USA.
authors.forename: Keyan
authors.initials: K
authors.lastname: Salari
authors.forename: Jonathan R
authors.initials: JR
authors.lastname: Pollack
mesh_terms: D019295:Computational Biology; D030541:Databases, Genetic; D006801:Humans; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D012984:Software; D013223:Statistics as Topic / Q000379:methods*