Clustering data with heatmap algorithm for The COVIDome Explorer Researcher Portal (Red Blood Cells) (Study ST001735)

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	COVID_Status:Negative | Sex:Female | Age:30
F2	COVID_Status:Negative | Sex:Female | Age:31
F3	COVID_Status:Negative | Sex:Female | Age:34
F4	COVID_Status:Negative | Sex:Female | Age:36
F5	COVID_Status:Negative | Sex:Female | Age:38
F6	COVID_Status:Negative | Sex:Female | Age:39
F7	COVID_Status:Negative | Sex:Female | Age:41
F8	COVID_Status:Negative | Sex:Female | Age:43
F9	COVID_Status:Negative | Sex:Female | Age:76
F10	COVID_Status:Negative | Sex:Female | Age:80
F11	COVID_Status:Negative | Sex:Male | Age:23
F12	COVID_Status:Negative | Sex:Male | Age:25
F13	COVID_Status:Negative | Sex:Male | Age:26
F14	COVID_Status:Negative | Sex:Male | Age:35
F15	COVID_Status:Negative | Sex:Male | Age:38
F16	COVID_Status:Negative | Sex:Male | Age:42
F17	COVID_Status:Negative | Sex:Male | Age:43
F18	COVID_Status:Negative | Sex:Male | Age:47
F19	COVID_Status:Negative | Sex:Male | Age:50
F20	COVID_Status:Negative | Sex:Male | Age:54
F21	COVID_Status:Negative | Sex:Male | Age:59
F22	COVID_Status:Negative | Sex:Male | Age:60
F23	COVID_Status:Negative | Sex:Male | Age:63
F24	COVID_Status:Negative | Sex:Male | Age:65
F25	COVID_Status:Negative | Sex:Male | Age:66
F26	COVID_Status:Negative | Sex:Male | Age:67
F27	COVID_Status:Negative | Sex:Male | Age:71
F28	COVID_Status:Negative | Sex:Male | Age:under 20
F29	COVID_Status:Positive | Sex:Female | Age:21
F30	COVID_Status:Positive | Sex:Female | Age:23
F31	COVID_Status:Positive | Sex:Female | Age:25
F32	COVID_Status:Positive | Sex:Female | Age:29
F33	COVID_Status:Positive | Sex:Female | Age:35
F34	COVID_Status:Positive | Sex:Female | Age:38
F35	COVID_Status:Positive | Sex:Female | Age:39
F36	COVID_Status:Positive | Sex:Female | Age:41
F37	COVID_Status:Positive | Sex:Female | Age:43
F38	COVID_Status:Positive | Sex:Female | Age:44
F39	COVID_Status:Positive | Sex:Female | Age:45
F40	COVID_Status:Positive | Sex:Female | Age:46
F41	COVID_Status:Positive | Sex:Female | Age:49
F42	COVID_Status:Positive | Sex:Female | Age:53
F43	COVID_Status:Positive | Sex:Female | Age:54
F44	COVID_Status:Positive | Sex:Female | Age:56
F45	COVID_Status:Positive | Sex:Female | Age:57
F46	COVID_Status:Positive | Sex:Female | Age:60
F47	COVID_Status:Positive | Sex:Female | Age:61
F48	COVID_Status:Positive | Sex:Female | Age:under 20
F49	COVID_Status:Positive | Sex:Male | Age:20
F50	COVID_Status:Positive | Sex:Male | Age:21
F51	COVID_Status:Positive | Sex:Male | Age:24
F52	COVID_Status:Positive | Sex:Male | Age:26
F53	COVID_Status:Positive | Sex:Male | Age:28
F54	COVID_Status:Positive | Sex:Male | Age:30
F55	COVID_Status:Positive | Sex:Male | Age:33
F56	COVID_Status:Positive | Sex:Male | Age:34
F57	COVID_Status:Positive | Sex:Male | Age:41
F58	COVID_Status:Positive | Sex:Male | Age:42
F59	COVID_Status:Positive | Sex:Male | Age:43
F60	COVID_Status:Positive | Sex:Male | Age:45
F61	COVID_Status:Positive | Sex:Male | Age:46
F62	COVID_Status:Positive | Sex:Male | Age:47
F63	COVID_Status:Positive | Sex:Male | Age:50
F64	COVID_Status:Positive | Sex:Male | Age:51
F65	COVID_Status:Positive | Sex:Male | Age:52
F66	COVID_Status:Positive | Sex:Male | Age:54
F67	COVID_Status:Positive | Sex:Male | Age:55
F68	COVID_Status:Positive | Sex:Male | Age:59
F69	COVID_Status:Positive | Sex:Male | Age:60
F70	COVID_Status:Positive | Sex:Male | Age:61
F71	COVID_Status:Positive | Sex:Male | Age:69
F72	COVID_Status:Positive | Sex:Male | Age:71
F73	COVID_Status:Positive | Sex:Male | Age:77
F74	COVID_Status:Positive | Sex:Male | Age:79
F75	COVID_Status:Positive | Sex:Male | Age:under 20

Data matrix