Clustering data with heatmap algorithm for Quantitative Lipids study on total murine liver tissue from mice at different age (Study ST001396)

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:

F1Litter:10 | Day after birth:1
F2Litter:10 | Day after birth:14
F3Litter:10 | Day after birth:21
F4Litter:10 | Day after birth:28
F5Litter:10 | Day after birth:56
F6Litter:10 | Day after birth:7
F7Litter:11 | Day after birth:1
F8Litter:11 | Day after birth:14
F9Litter:11 | Day after birth:21
F10Litter:11 | Day after birth:28
F11Litter:11 | Day after birth:56
F12Litter:11 | Day after birth:7
F13Litter:7 | Day after birth:14
F14Litter:7 | Day after birth:21
F15Litter:7 | Day after birth:28
F16Litter:7 | Day after birth:56
F17Litter:7 | Day after birth:7
F18Litter:8 | Day after birth:14
F19Litter:8 | Day after birth:21
F20Litter:8 | Day after birth:28
F21Litter:8 | Day after birth:56
F22Litter:8 | Day after birth:7
F23Litter:9 | Day after birth:1
F24Litter:9 | Day after birth:14
F25Litter:9 | Day after birth:21
F26Litter:9 | Day after birth:28
F27Litter:9 | Day after birth:56
F28Litter:9 | Day after birth:7
Data matrix
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