Why the YY-Plot is One of the Most Powerful Ways to Explore Gene Expression
When researchers open a genomics dataset, one of the first questions they ask is deceptively simple: "How is my gene of interest expressed across all samples?" The answer often determines the next steps in a project—whether that means investigating a biomarker, validating experimental findings, or identifying patient subgroups. The R2 Genomics Analysis and Visualization Platform has been answering this question for researchers worldwide for many years with one of its signature visualizations: the YY-plot . Although it looks remarkably simple, the YY-plot is one of the fastest ways to uncover biological patterns that might otherwise remain hidden. Every sample, every patient, every data point Unlike summary graphs that compress data into averages or boxplots, the YY-plot displays every individual sample . Samples are automatically ordered from lowest to highest expression of the selected gene. The result is an intuitive landscape of expression levels where every dot represen...