Heatmaps
are very handy tools for the analysis and visualization of large
multi-dimensional datasets. They are often used with high-throughput
gene expression data. If you want to locate hidden groups among
analyzed genes, or association between experimental conditions and
gene expression patterns, heatmaps are the way to go because they
bring together the statistical rigor of clustering with the visual
cognitive excellence of your mind. In this crash course you will
learn the important tricks how to apply this tool successfully in
your projects. Besides you will get an opportunity to practice
creating heatmaps with online services, or if you are at a more
advanced level, with R statistical environment.