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Clustering data with heatmap algorithm for (Study ST000660)

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	Treatment*:HMZ a7 \| Genotype:HFD \| TIME_POINT:35 weeks
F2	Treatment*:HMZ a7 \| Genotype:LA-HFD \| TIME_POINT:35 weeks
F3	Treatment*:HMZ a7 \| Genotype:Viv chow \| TIME_POINT:35 weeks
F4	Treatment*:WT C57-Bl6 \| Genotype:HFD \| TIME_POINT:24 weeks
F5	Treatment*:WT C57-Bl6 \| Genotype:HFD \| TIME_POINT:35 weeks
F6	Treatment*:WT C57-Bl6 \| Genotype:LA-HFD \| TIME_POINT:24 weeks
F7	Treatment*:WT C57-Bl6 \| Genotype:LA-HFD \| TIME_POINT:35 weeks
F8	Treatment*:WT C57-Bl6 \| Genotype:PL-HFD \| TIME_POINT:24 weeks
F9	Treatment*:WT C57-Bl6 \| Genotype:Viv chow \| TIME_POINT:24 weeks
F10	Treatment*:WT C57-Bl6 \| Genotype:Viv chow \| TIME_POINT:35 weeks

Data matrix