Clustering data with heatmap algorithm for Metabolic responses to PD1 immune-checkpoint blockade and association with therapeutic benefits - Part I (Study ST001235)

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:

F1Time point:baseline | OS_Censor (1 means the time is a censoring time and 0 means a failure time in OS):-
F2Time point:baseline | OS_Censor (1 means the time is a censoring time and 0 means a failure time in OS):1
F3Time point:week 4 | OS_Censor (1 means the time is a censoring time and 0 means a failure time in OS):-
F4Time point:week 4 | OS_Censor (1 means the time is a censoring time and 0 means a failure time in OS):1
F5Time point:week 6 | OS_Censor (1 means the time is a censoring time and 0 means a failure time in OS):-
F6Time point:week 6 | OS_Censor (1 means the time is a censoring time and 0 means a failure time in OS):1
Data matrix
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