Clustering data with heatmap algorithm for The Role of Obesity and Adipocytes in Immune Activation on Antiretroviral Therapy (Study ST000250)

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	HIV status:negative | Obesity:Yes | Sex:F | Race:B
F2	HIV status:negative | Obesity:Yes | Sex:F | Race:W
F3	HIV status:negative | Obesity:Yes | Sex:M | Race:B
F4	HIV status:negative | Obesity:Yes | Sex:M | Race:W
F5	HIV status:positive | Obesity:No | Sex:F | Race:B
F6	HIV status:positive | Obesity:No | Sex:F | Race:W
F7	HIV status:positive | Obesity:No | Sex:M | Race:B
F8	HIV status:positive | Obesity:No | Sex:M | Race:O
F9	HIV status:positive | Obesity:No | Sex:M | Race:W
F10	HIV status:positive | Obesity:Yes | Sex:F | Race:B
F11	HIV status:positive | Obesity:Yes | Sex:F | Race:W
F12	HIV status:positive | Obesity:Yes | Sex:M | Race:B
F13	HIV status:positive | Obesity:Yes | Sex:M | Race:O
F14	HIV status:positive | Obesity:Yes | Sex:M | Race:W

Data matrix