Clustering data with heatmap algorithm for Identification of Race-Associated Metabolite Biomarkers for Hepatocellular Carcinoma (Study ST000865)

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	Patient group:CIRR | RACE:AA
F2	Patient group:CIRR | RACE:Asian
F3	Patient group:CIRR | RACE:EA
F4	Patient group:CIRR | RACE:Hisp
F5	Patient group:CIRR | RACE:Other
F6	Patient group:HCC | RACE:AA
F7	Patient group:HCC | RACE:Asian
F8	Patient group:HCC | RACE:EA
F9	Patient group:HCC | RACE:Hisp
F10	Patient group:HCC | RACE:Other
F11	Patient group:Pool CIRR | RACE:-
F12	Patient group:Pool HCC | RACE:-
F13	Patient group:POSSIBLE CASE | RACE:-
F14	Patient group:- | RACE:-

Data matrix