Retrieve gene expression data series (GSE) from the NCBI Gene Expression Omnibus (GEO) and perform basic analysis on the expression profiles.
Analyze Illumina BeadChip gene expression summary data using MATLAB® and Bioinformatics Toolbox™ functions.
Identify differentially expressed genes from microarray data and uses Gene Ontology to determine significant biological functions that are associated to the down- and up-regulated
Various ways to explore and visualize raw microarray data. The example uses microarray data from a study of gene expression in mouse brains .
Use MATLAB® and Bioinformatics Toolbox™ for preprocessing Affymetrix® oligonucleotide microarray probe-level data with two preprocessing techniques, Robust Multi-array Average
Use a Bayesian hidden Markov model (HMM) technique to identify copy number alteration in array-based comparative genomic hybridization (CGH) data.
Study DNA copy number variants by preprocessing and analyzing data from the Affymetrix® GeneChip® Human Mapping 100k array.
Use the functions in the Bioinformatics Toolbox™ for working with Affymetrix® GeneChip® data.