Heatmaps / Lollipop heatmap
Your data stays in your browser: files are read and processed on your device, never uploaded to any server, and cleared when you close the page. Free, no sign-in.
Each row is a variable (for example a gene): the lollipop on the right shows the size and direction of the measure (for example log2FC, positive and negative in different colours), and larger dots mean larger values of the size column (by default −log10 adjusted P, so larger is more significant).
The heatmap on the left shows the same variable in each sample or group, so you can check that the measure is supported consistently by all replicates rather than driven by one sample.
By default the heatmap uses row z-scores (comparing each row across columns only), limited to ±2, and rows are sorted by the measure, largest first.
It suits a list of candidate genes, feature importances (such as VIP scores) or enrichment results shown together with their trend across samples.
z-scores use the sample standard deviation (n − 1); dot radius scales with the square root of the size value; clustering uses Euclidean distance with average linkage; with raw diverging colours the palette ends at the 95th percentile of |value| and larger values take the end colour.
Up to 300 rows are drawn.
Send us your data and research question and you will receive a written plan within 1 working day: analysis steps, parameter rationale, deliverables and timeline. Quoted per project.