Clustering data with heatmap algorithm for (Study ST000365)

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:

F1Metal Exposure:Cd | Exposure Level:-
F2Metal Exposure:Cd | Exposure Level:high (1000 ppb)
F3Metal Exposure:Cd | Exposure Level:low (10 ppb)
F4Metal Exposure:Cd | Exposure Level:mid (100 ppb)
F5Metal Exposure:Cd+Pb | Exposure Level:-
F6Metal Exposure:CD+Pb | Exposure Level:-
F7Metal Exposure:Cd+Pb | Exposure Level:high (1000 ppb Cd and 1000 ppb Pb)
F8Metal Exposure:Cd+Pb | Exposure Level:low (10 ppb Cd and 10 ppb Pb)
F9Metal Exposure:Cd+Pb | Exposure Level:mid (100 ppb Cd and 100 ppb Pb)
F10Metal Exposure:control | Exposure Level:-
F11Metal Exposure:control | Exposure Level:No
F12Metal Exposure:Pb | Exposure Level:-
F13Metal Exposure:Pb | Exposure Level:high (1000 ppb)
F14Metal Exposure:Pb | Exposure Level:low (10 ppb)
F15Metal Exposure:Pb | Exposure Level:mid (100 ppb)
Data matrix
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