This is a dedicated place for common issues regarding the Biodata Analysis PgCert Program jpintly organized by HiDucator and Pázmány Péter Catholic University.
General information, general forum, and non-course specific video sessions are available here.
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.
The purpose of this course is to teach how the R statistical environment can be applied for biological data analysis.
Recommended reading
An application oriented course focusing on how statistical methods can be used to address common problems in the analysis of results from molecular biology experiments.
Recommended reading
Programming for beginners, using the Python langauge: