Clustering data with heatmap algorithm for (Study ST001726)

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:

F1sample_type:IBAT
F2sample_type:IBAT_batch1
F3sample_type:IBAT_batch10
F4sample_type:IBAT_batch2
F5sample_type:IBAT_batch3
F6sample_type:IBAT_batch4
F7sample_type:IBAT_batch5
F8sample_type:IBAT_batch6
F9sample_type:IBAT_batch7
F10sample_type:IBAT_batch8
F11sample_type:IBAT_batch9
F12sample_type:individual batch1
F13sample_type:individual batch10
F14sample_type:individual batch11
F15sample_type:individual batch2
F16sample_type:individual batch3
F17sample_type:individual batch4
F18sample_type:individual batch5
F19sample_type:individual batch6
F20sample_type:individual batch7
F21sample_type:individual batch8
F22sample_type:individual batch9
F23sample_type:PD1074
F24sample_type:poolQC
Data matrix
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