Clustering data with heatmap algorithm for (Study ST001746)

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	Phenotype 1:Cervical dislocation | Phenotype 2:Non-drug related death | Phenotype 3:Non-drug related death
F2	Phenotype 1:Drowning | Phenotype 2:Non-drug related death | Phenotype 3:Non-drug related death
F3	Phenotype 1:Hemorrhagic shock | Phenotype 2:Non-drug related death | Phenotype 3:Non-drug related death
F4	Phenotype 1:Lethal CLO poisoning | Phenotype 2:PER, OLA, CLO lethal poisoning | Phenotype 3:CPZ, PER, OLA, CLO lethal poisoning
F5	Phenotype 1:Lethal CPZ poisoning | Phenotype 2:Lethal CPZ poisoning | Phenotype 3:CPZ, PER, OLA, CLO lethal poisoning
F6	Phenotype 1:Lethal OLA poisoning | Phenotype 2:PER, OLA, CLO lethal poisoning | Phenotype 3:CPZ, PER, OLA, CLO lethal poisoning
F7	Phenotype 1:Lethal PER poisoning | Phenotype 2:PER, OLA, CLO lethal poisoning | Phenotype 3:CPZ, PER, OLA, CLO lethal poisoning
F8	Phenotype 1:Mechanical asphyxia | Phenotype 2:Non-drug related death | Phenotype 3:Non-drug related death

Data matrix