TUTORIAL: Heatmaps

A heatmap in tranSMART is a matrix of data points for a particular set of biomarkers, such as genes, at a particular point in time and/or for a particular tissue sample in the study, as measured by each subject in the study.

Each of the four types of heatmaps available through tranSMART v1.1's Dataset Explorer is covered in this tutorial:
● Standard Heatmap
● Hierarchical Clustering
● K-Means Clustering
● Marker Selection

The example dataset used in this tutorial is a publicly available breast cancer study by Sorlie, GSE4382. The tutorial was created using the tranSMART User's Manual, v1.1. This version 1.1 of the tranSMART documentation was created by tranSMART Foundation and is made available under a Creative Commons Attribution 3.0 Unported License. Earlier versions of this tranSMART documentation were created by Johnson & Johnson and Recombinant Data and used under a Creative Commons Attribution 3.0 Unported License. The URL for the work is