Clustering data with heatmap algorithm for (Study ST002404)

This analysis uses the 'heatmap.2' function of gplots package in the R statistics environment

The rows are scaled to have mean=0 and standard deviation=1

Factors:

F1	Sex:F | Variant:o | Group:COVID-19_positive | Severity:mild
F2	Sex:F | Variant:o | Group:COVID-19_positive | Severity:severe
F3	Sex:F | Variant:wt-α-β | Group:COVID-19_positive | Severity:mild
F4	Sex:F | Variant:wt-α-β | Group:COVID-19_positive | Severity:severe
F5	Sex:F | Variant:wt-α-β | Group:COVID-19_recovered | Severity:mild
F6	Sex:F | Variant:wt-α-β | Group:COVID-19_recovered | Severity:severe
F7	Sex:F | Variant:δ | Group:COVID-19_positive | Severity:mild
F8	Sex:F | Variant:δ | Group:COVID-19_positive | Severity:severe
F9	Sex:M | Variant:o | Group:COVID-19_positive | Severity:mild
F10	Sex:M | Variant:o | Group:COVID-19_positive | Severity:severe
F11	Sex:M | Variant:wt-α-β | Group:COVID-19_positive | Severity:mild
F12	Sex:M | Variant:wt-α-β | Group:COVID-19_positive | Severity:severe
F13	Sex:M | Variant:wt-α-β | Group:COVID-19_recovered | Severity:mild
F14	Sex:M | Variant:wt-α-β | Group:COVID-19_recovered | Severity:severe
F15	Sex:M | Variant:δ | Group:COVID-19_positive | Severity:mild
F16	Sex:M | Variant:δ | Group:COVID-19_positive | Severity:severe

Data matrix