Clustering data with heatmap algorithm for (Study ST003959)

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:

F1	Sample source:SDHBKO_001 | Treatment:Knock out
F2	Sample source:SDHBKO_002 | Treatment:Knock out
F3	Sample source:SDHBKO_003 | Treatment:Knock out
F4	Sample source:SDHBKO_004 | Treatment:Knock out
F5	Sample source:SDHBKO_005 | Treatment:Knock out
F6	Sample source:SDHBKO_006 | Treatment:Knock out
F7	Sample source:UQCRC1KO_001 | Treatment:Knock out
F8	Sample source:UQCRC1KO_002 | Treatment:Knock out
F9	Sample source:UQCRC1KO_003 | Treatment:Knock out
F10	Sample source:UQCRC1KO_004 | Treatment:Knock out
F11	Sample source:UQCRC1KO_005 | Treatment:Knock out
F12	Sample source:UQCRC1KO_006 | Treatment:Knock out
F13	Sample source:Wild type_001 | Treatment:Control
F14	Sample source:Wild type_002 | Treatment:Control
F15	Sample source:Wild type_003 | Treatment:Control
F16	Sample source:Wild type_004 | Treatment:Control
F17	Sample source:Wild type_005 | Treatment:Control
F18	Sample source:Wild type_006 | Treatment:Control

Data matrix