Heatmaps / Cross-table correlation 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.
Rows are table-1 variables and columns are table-2 variables; each cell is their correlation across paired samples: red is positive, blue negative.
The tables are paired by sample ID and only shared samples are used; the page reports how many samples appear in only one table, so check that IDs are written identically (case, leading or trailing spaces).
Stars use the adjusted P value (* < 0.05, ** < 0.01, *** < 0.001); the adjustment covers all table-1 × table-2 pairs together.
Spearman is the usual choice for omics associations (for example genes against metabolites). With few samples and many variables false positives are likely; correlation indicates association, not regulation or causation.
P values: exact t test for Pearson, t approximation for Spearman, tau-b for Kendall (as scipy.stats); missing values removed pairwise; clustering uses Euclidean distances between correlation profiles with average linkage; adjustment after Benjamini & Hochberg 1995, J R Stat Soc B 57:289–300.
Up to 200 variables per table.
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.