Clustering data with heatmap algorithm for (Study ST002289)

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:

F1Factor:I46 | species:Clostridium inocuum
F2Factor:I48 | species:Bacteroides caecimuris
F3Factor:I49 | species:Lactobacillus reuteri
F4Factor:KB18 | species:Acutalibacter muris
F5Factor:KB1 | species:Enterococcus faecalis
F6Factor:Media | species:Media
F7Factor:YL27 | species:Muribaculun intestinale
F8Factor:YL2 | species:Bifidobacterium animalis
F9Factor:YL31 | species:Faecalibacter plautii
F10Factor:YL32 | species:Enterocloster clostridioforme
F11Factor:YL44 | species:Akkermansia muciniphila
F12Factor:YL45 | species:Turicimonas muris
F13Factor:YL58 | species:Blautia coccoides
Data matrix
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