Correlation Heatmap
v1.0.0
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Correlation heatmaps can reveal the associations between variables in omics data, reflect the degree of correlation between samples and taxonomic units, and are an important method for guiding the selection of biomarkers and the study of disease mechanisms, holding significant importance in omics research.
Input
A tab-separated text file containing row and column headers, where each row represents a species (unique and non-repeating), and each column represents a sample.
Environmental Factors Table A tab-separated text file containing row and column headers, where each row represents a sample, Column 2 (required header 'Category') contains sample grouping information, and from the third column onwards, each column represents an environmental factor.
Output
The names of environmental factors are listed below, and the names of taxonomic units are listed to the right. The colors indicate the strength of correlation obtained using the Pearson analysis method. The greener the color, the weaker the correlation.
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"***" indicates a correlation coefficient with a p-value less than 0.001.
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"**" indicates a correlation coefficient with a p-value less than 0.01.
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"*" indicates a correlation coefficient with a p-value less than 0.05.