Clustering data with heatmap algorithm for (Study ST001777)

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:

F1Experimental Condition:AGC 1e5 - R 120K - neg
F2Experimental Condition:AGC 1e5 - R 120K - pos
F3Experimental Condition:AGC 1e5 - R 240K - neg
F4Experimental Condition:AGC 1e5 - R 240K - pos
F5Experimental Condition:AGC 1e5 - R 500K - neg
F6Experimental Condition:AGC 1e5 - R 500K - pos
F7Experimental Condition:AGC 5e4 - R 120K - neg
F8Experimental Condition:AGC 5e4 - R 120K - pos
F9Experimental Condition:AGC 5e4 - R 240K - neg
F10Experimental Condition:AGC 5e4 - R 240K - pos
F11Experimental Condition:AGC 5e4 - R 500K - neg
F12Experimental Condition:AGC 5e4 - R 500K - pos
F13Experimental Condition:AGC 5e5 - R 120K - neg
F14Experimental Condition:AGC 5e5 - R 120K - pos
F15Experimental Condition:AGC 5e5 - R 240K - neg
F16Experimental Condition:AGC 5e5 - R 240K - pos
F17Experimental Condition:AGC 5e5 - R 500K - neg
F18Experimental Condition:AGC 5e5 - R 500K - pos
Data matrix
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