Clustering data with heatmap algorithm for (Study ST001978)

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:

F1Factor:-
F2Factor:L10-1
F3Factor:L10-2
F4Factor:L1-1
F5Factor:L1-2
F6Factor:L1-3
F7Factor:L1-4
F8Factor:L1-5
F9Factor:L2-1
F10Factor:L2-2
F11Factor:L3-1
F12Factor:L3-2
F13Factor:L3-3
F14Factor:L3-4
F15Factor:L3-5
F16Factor:L4-1
F17Factor:L4-2
F18Factor:L5-1
F19Factor:L5-2
F20Factor:L6-1
F21Factor:L6-2
F22Factor:L6-3
F23Factor:L7-1
F24Factor:L7-2
F25Factor:L8-1
F26Factor:L8-2
F27Factor:L9-1
F28Factor:L9-2
F29Factor:L9-3
F30Factor:mouse control
F31Factor:N25
F32Factor:N55
F33Factor:N58
F34Factor:N61
F35Factor:N66
F36Factor:N75
F37Factor:N88
F38Factor:N9
F39Factor:N91
F40Factor:N93
F41Factor:N95
F42Factor:NJ3
F43Factor:patient12_1 12/5/02
F44Factor:patient12_2 1/16/03
F45Factor:patient12_3 5/23/03
F46Factor:patient13_1 12/29/11
F47Factor:patient13_2 4/28/14
F48Factor:patient13_3 7/16/14
F49Factor:patient2_1 6/10/07
F50Factor:patient2_2 6/11/07
F51Factor:patient2_3 4/22/08
F52Factor:patient4_1 8/31/10
F53Factor:patient4_2 6/11/11
F54Factor:patient4_3 7/9/11
Data matrix
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