Documentation Index
Fetch the complete documentation index at: https://docs.cosmosid.com/llms.txt
Use this file to discover all available pages before exploring further.
Heatmap Overview
For example, in relative abundance data, red highlights organisms with high abundance, yellow indicates medium abundance, and blue shows low abundance. The heat map assigns “hot” colors (red/orange) to high values and “cold” colors (blue) to low values. These colored cells are displayed on a matrix, helping you easily identify patterns, samples, or taxa of interest.Why Use a Heatmap?Heat maps are ideal for spotting trends in large datasets, such as identifying organisms consistently abundant in one cohort but not another. This makes them a valuable tool for discovering taxa or patterns worth further investigation.
Heatmap Customization
The heatmap visualization tool provides various modification options to tailor the display to your analysis needs. Below are the customization features available: Clustering Options- Sample Clustering: Group samples based on similarities in their feature abundance profiles.
- Cohort Clustering: Organize samples based on predefined cohorts or metadata categories.
- Feature Clustering: Cluster features (e.g., microbial taxa) based on their abundance profiles across samples while also maintaining Cohort Clustering in alphanumeric order.
- Select the number of top-abundant features to display on the heatmap. Adjust the numerical value and click Apply to refresh the visualization.
- Most abundant features are calculated by averaging abundances across all samples (i.e., all cells on the row) and sorts it by largest to smallest.
- TSV: exports the relative abundance table as a tab-separated values file
- PNG, SVG, PDF: exports the heatmap visualization as an image file

