Clustering data with heatmap algorithm for Slow Aging Mice Plasma Metabolomics (Study ST000705)

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:

F1Genotype:Dwarf | Sex:F | Strain:Snell
F2Genotype:Dwarf | Sex:M | Strain:Snell
F3Genotype:Het | Sex:F | Strain:PappA
F4Genotype:Het | Sex:M | Strain:PappA
F5Genotype:KO | Sex:F | Strain:GHRKO Global
F6Genotype:KO | Sex:F | Strain:PappA
F7Genotype:KO | Sex:M | Strain:GHRKO Global
F8Genotype:KO | Sex:M | Strain:PappA
F9Genotype:Neg | Sex:F | Strain:Liver GHRKO
F10Genotype:Neg | Sex:M | Strain:Liver GHRKO
F11Genotype:Normal | Sex:F | Strain:Snell
F12Genotype:Normal | Sex:M | Strain:Snell
F13Genotype:Pooled plasma | Sex:Pooled plasma | Strain:Pooled plasma
F14Genotype:Pos | Sex:F | Strain:Liver GHRKO
F15Genotype:Pos | Sex:M | Strain:Liver GHRKO
F16Genotype:WT | Sex:F | Strain:GHRKO Global
F17Genotype:WT | Sex:M | Strain:GHRKO Global
Data matrix
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