Clustering data with heatmap algorithm for Insights into myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) phenotypes through comprehensive metabolomics (part III)) (Study ST000802)

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:

F1CaseStatus:Case | SEX:Female | AGE_DICH:20_50
F2CaseStatus:Case | SEX:Female | AGE_DICH:over50
F3CaseStatus:Case | SEX:Male | AGE_DICH:20_50
F4CaseStatus:Case | SEX:Male | AGE_DICH:over50
F5CaseStatus:Control | SEX:Female | AGE_DICH:20_50
F6CaseStatus:Control | SEX:Female | AGE_DICH:over50
F7CaseStatus:Control | SEX:Male | AGE_DICH:20_50
F8CaseStatus:Control | SEX:Male | AGE_DICH:over50
Data matrix
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