Clustering data with heatmap algorithm for (Study ST003172)

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:

F1day post-anthesis:0 | POS/NEG:NEG
F2day post-anthesis:0 | POS/NEG:POS
F3day post-anthesis:16 | POS/NEG:NEG
F4day post-anthesis:16 | POS/NEG:POS
F5day post-anthesis:30 | POS/NEG:NEG
F6day post-anthesis:30 | POS/NEG:POS
F7day post-anthesis:50 | POS/NEG:NEG
F8day post-anthesis:50 | POS/NEG:POS
F9day post-anthesis:55 | POS/NEG:NEG
F10day post-anthesis:55 | POS/NEG:POS
F11day post-anthesis:60 | POS/NEG:NEG
F12day post-anthesis:60 | POS/NEG:POS
F13day post-anthesis:7 | POS/NEG:NEG
F14day post-anthesis:7 | POS/NEG:POS
F15day post-anthesis:QC | POS/NEG:NEG
F16day post-anthesis:QC | POS/NEG:POS
Data matrix
  logo