Clustering data with heatmap algorithm for (Study ST002928)

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	APOE genotype:e2/e2 | TMEM SNP:A/G
F2	APOE genotype:e2/e3 | TMEM SNP:A/G
F3	APOE genotype:e2/e3 | TMEM SNP:G/G
F4	APOE genotype:e2/e3 | TMEM SNP:NA
F5	APOE genotype:e2/e4 | TMEM SNP:A/A
F6	APOE genotype:e2/e4 | TMEM SNP:A/G
F7	APOE genotype:e2/e4 | TMEM SNP:G/G
F8	APOE genotype:e3/e3 | TMEM SNP:A/A
F9	APOE genotype:e3/e3 | TMEM SNP:A/G
F10	APOE genotype:e3/e3 | TMEM SNP:G/G
F11	APOE genotype:e3/e3 | TMEM SNP:NA
F12	APOE genotype:e3/e4 | TMEM SNP:A/A
F13	APOE genotype:e3/e4 | TMEM SNP:A/G
F14	APOE genotype:e3/e4 | TMEM SNP:G/G

Data matrix