Clustering data with heatmap algorithm for (Study ST002987)

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:

F1Treatment:HI_PsA_GPi | Time:30min
F2Treatment:HI_PsA | Time:30min
F3Treatment:HL60_unstim_GPi | Time:30min
F4Treatment:HL60 _unstim | Time:30min
F5Treatment:in_vivo_neutrophil | Time:0min
F6Treatment:in_vivo_neutrophil | Time:30min
F7Treatment:in_vivo_neutrophil | Time:60min
F8Treatment:LPS_120min | Time:120min
F9Treatment:LPS_30min | Time:30min
F10Treatment:LPS_GPi | Time:4hr
F11Treatment:LPS | Time:4hr
F12Treatment:PMA_GPi_no_glc | Time:30min
F13Treatment:PMA_GPi | Time:30min
F14Treatment:PMA_no_glc | Time:30min
F15Treatment:PMA | Time:30min
F16Treatment:TNF-A_GPi | Time:30min
F17Treatment:TNF-A | Time:30min
F18Treatment:U13Cglc_infusion_plasma | Time:0min
F19Treatment:U13Cglc_infusion_plasma | Time:10min
F20Treatment:U13Cglc_infusion_plasma | Time:20min
F21Treatment:U13Cglc_infusion_plasma | Time:30min
F22Treatment:U13Cglc_infusion_plasma | Time:60min
F23Treatment:unstim_GPi | Time:30min
F24Treatment:unstim | Time:2hr
F25Treatment:unstim | Time:30min
F26Treatment:unstim | Time:6hr
F27Treatment:Zym_15min | Time:15min
F28Treatment:Zym_30min | Time:30min
F29Treatment:Zym_60min | Time:60min
F30Treatment:Zym_GPi_no_glc | Time:30min
F31Treatment:Zym_GPi | Time:30min
F32Treatment:Zym_no_glc | Time:30min
F33Treatment:Zym | Time:30min
Data matrix
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