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Clustering data with heatmap algorithm for (Study ST002380)

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	strain:A. johnsonii 2P08AA \| type:broth \| treatment:0.1% K30
F2	strain:A. johnsonii 2P08AA \| type:broth \| treatment:0% K30
F3	strain:A. johnsonii 2P08AA \| type:broth \| treatment:0% K31
F4	strain:A. johnsonii 2P08AA \| type:broth \| treatment:0% K32
F5	strain:A. johnsonii 2P08AA \| type:cell \| treatment:0.1% K30
F6	strain:A. johnsonii 2P08AA \| type:cell \| treatment:0% K30
F7	strain:A. johnsonii 2P08AA \| type:cell \| treatment:0% K31
F8	strain:A. johnsonii 2P08AA \| type:cell \| treatment:0% K32
F9	strain:A. radioresistens 50v1 \| type:broth \| treatment:0.1% K30
F10	strain:A. radioresistens 50v1 \| type:broth \| treatment:0% K30
F11	strain:A. radioresistens 50v1 \| type:cell \| treatment:0.1% K30
F12	strain:A. radioresistens 50v1 \| type:cell \| treatment:0% K30

Data matrix