Clustering data with heatmap algorithm for (Study ST002201)

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:Bur-0 | Drought:W+ | Nitrogen:N+
F2Genotype:Bur-0 | Drought:W+ | Nitrogen:N-
F3Genotype:Bur-0 | Drought:W- | Nitrogen:N+
F4Genotype:Bur-0 | Drought:W- | Nitrogen:N-
F5Genotype:Col-0 | Drought:W+ | Nitrogen:N+
F6Genotype:Col-0 | Drought:W+ | Nitrogen:N-
F7Genotype:Col-0 | Drought:W- | Nitrogen:N+
F8Genotype:Col-0 | Drought:W- | Nitrogen:N-
F9Genotype:Cvi-0 | Drought:W+ | Nitrogen:N+
F10Genotype:Cvi-0 | Drought:W+ | Nitrogen:N-
F11Genotype:Cvi-0 | Drought:W- | Nitrogen:N+
F12Genotype:Cvi-0 | Drought:W- | Nitrogen:N-
F13Genotype:Sha | Drought:W+ | Nitrogen:N+
F14Genotype:Sha | Drought:W+ | Nitrogen:N-
F15Genotype:Sha | Drought:W- | Nitrogen:N+
F16Genotype:Sha | Drought:W- | Nitrogen:N-
F17Genotype:Tsu-0 | Drought:W+ | Nitrogen:N+
F18Genotype:Tsu-0 | Drought:W+ | Nitrogen:N-
F19Genotype:Tsu-0 | Drought:W- | Nitrogen:N+
F20Genotype:Tsu-0 | Drought:W- | Nitrogen:N-
Data matrix
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