Clustering data with heatmap algorithm for Sepsis-related metabolic changes in ileum, jejunum, skeletal muscle, liver and lung (Study ST001190)

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:

F1Tissue:Ileum | Challenge:Vascular catherization/Pseudomonas aeruginosa infusion
F2Tissue:Ileum | Challenge:Vascular catherization/Saline infusion
F3Tissue:Jejunum | Challenge:Vascular catherization/Pseudomonas aeruginosa infusion
F4Tissue:Jejunum | Challenge:Vascular catherization/Saline infusion
F5Tissue:Liver | Challenge:Vascular catherization/Pseudomonas aeruginosa infusion
F6Tissue:Liver | Challenge:Vascular catherization/Saline infusion
F7Tissue:Lung | Challenge:Vascular catherization/Pseudomonas aeruginosa infusion
F8Tissue:Lung | Challenge:Vascular catherization/Saline infusion
F9Tissue:Skeletal Muscle (Gastrocnemius) | Challenge:Vascular catherization/Pseudomonas aeruginosa infusion
F10Tissue:Skeletal Muscle (Gastrocnemius) | Challenge:Vascular catherization/Saline infusion
Data matrix
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