Large biological datasets are often too big to understand by reading numbers in a table. In DREAM-High, we will eventually use heatmaps to look for patterns in breast cancer gene expression data from patients in The Cancer Genome Atlas. A heatmap can help us ask questions such as: - Which samples look similar to each other? - Which genes behave similarly across patients? - Can visual patterns help us discover tumor subtypes? Today we will learn the same basic idea using a small practice dataset that comes with R.

First Steps with R

Protocol for a scoping review aiming to systematically map and synthesize quantitative methodologies for the correction and redistribution of 'garbage codes' in mortality registries across low- and middle-income countries (LMICs). The study evaluates the technical applicability of these algorithms for parameterizing health microsimulation models, utilizing a reproducible, R-based workflow."