Clustering data with heatmap algorithm for (Study ST001527)

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	Tumor_staging_before_chemo:1 | Chemo_response_numeric:-
F2	Tumor_staging_before_chemo:1 | Chemo_response_numeric:1
F3	Tumor_staging_before_chemo:1 | Chemo_response_numeric:3
F4	Tumor_staging_before_chemo:2 | Chemo_response_numeric:-
F5	Tumor_staging_before_chemo:2 | Chemo_response_numeric:1
F6	Tumor_staging_before_chemo:2 | Chemo_response_numeric:2
F7	Tumor_staging_before_chemo:3 | Chemo_response_numeric:-
F8	Tumor_staging_before_chemo:3 | Chemo_response_numeric:2
F9	Tumor_staging_before_chemo:3 | Chemo_response_numeric:3
F10	Tumor_staging_before_chemo:3 | Chemo_response_numeric:4
F11	Tumor_staging_before_chemo:4 | Chemo_response_numeric:-
F12	Tumor_staging_before_chemo:4 | Chemo_response_numeric:2
F13	Tumor_staging_before_chemo:4 | Chemo_response_numeric:3
F14	Tumor_staging_before_chemo:4 | Chemo_response_numeric:4
F15	Tumor_staging_before_chemo:- | Chemo_response_numeric:-

Data matrix