Clustering data with heatmap algorithm for (Study ST003558)

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:

F1Pre-treatment:N-ethylmaleimide (0.2 mM) | Treatment 1:N-methyl-arginine (0.5 mM) | Treatment 2:None
F2Pre-treatment:N-ethylmaleimide (0.2 mM) | Treatment 1:PBS | Treatment 2:None
F3Pre-treatment:None | Treatment 1:N-methyl-arginine (0.5 mM) | Treatment 2:D-lysine (5 mM)
F4Pre-treatment:None | Treatment 1:N-methyl-arginine (0.5 mM) | Treatment 2:L-alanine (5 mM)
F5Pre-treatment:None | Treatment 1:N-methyl-arginine (0.5 mM) | Treatment 2:L-arginine (5 mM)
F6Pre-treatment:None | Treatment 1:N-methyl-arginine (0.5 mM) | Treatment 2:L-leucine (5 mM)
F7Pre-treatment:None | Treatment 1:N-methyl-arginine (0.5 mM) | Treatment 2:L-lysine (5 mM)
F8Pre-treatment:None | Treatment 1:N-methyl-arginine (0.5 mM) | Treatment 2:L-ornithine (5 mM)
F9Pre-treatment:None | Treatment 1:N-methyl-arginine (0.5 mM) | Treatment 2:None
F10Pre-treatment:None | Treatment 1:PBS | Treatment 2:None
Data matrix
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