Clustering data with heatmap algorithm for (Study ST001836)

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:

F1Tissue:Caecum | Sample treatment:DIO
F2Tissue:Caecum | Sample treatment:DIO_AB
F3Tissue:Caecum | Sample treatment:DIO_FMT_RYGB
F4Tissue:Caecum | Sample treatment:DIO_PF_FMT
F5Tissue:Caecum | Sample treatment:FMT_lean
F6Tissue:Caecum | Sample treatment:Lean
F7Tissue:Caecum | Sample treatment:Lean_AB
F8Tissue:Caecum | Sample treatment:RYGB_AB
F9Tissue:Caecum | Sample treatment:RYGB_Donor
F10Tissue:Plasma | Sample treatment:DIO
F11Tissue:Plasma | Sample treatment:DIO_FMT_RYGB
F12Tissue:Plasma | Sample treatment:DIO_PF_FMT
F13Tissue:Plasma | Sample treatment:Lean
F14Tissue:Plasma | Sample treatment:RYGB_AB
F15Tissue:Plasma | Sample treatment:RYGB_Donor
F16Tissue:Serum | Sample treatment:DIO
F17Tissue:Serum | Sample treatment:DIO_AB
F18Tissue:Serum | Sample treatment:DIO_FMT_RYGB
F19Tissue:Serum | Sample treatment:FMT_lean
F20Tissue:Serum | Sample treatment:Lean
F21Tissue:Serum | Sample treatment:Lean_AB
F22Tissue:Serum | Sample treatment:RYGB_AB
F23Tissue:Serum | Sample treatment:RYGB_Donor
Data matrix
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