Clustering data with heatmap algorithm for Timecourse on RAW 264.7 cells treated with Kdo2-Lipid A and compactin (Study ST000005)

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	Hours:0.5 | Compactin:50uM | KLA:100ng/ml
F2	Hours:0.5 | Compactin:50uM | KLA:None
F3	Hours:0.5 | Compactin:None | KLA:100ng/ml
F4	Hours:0.5 | Compactin:None | KLA:None
F5	Hours:0 | Compactin:None | KLA:None
F6	Hours:12 | Compactin:50uM | KLA:100ng/ml
F7	Hours:12 | Compactin:50uM | KLA:None
F8	Hours:12 | Compactin:None | KLA:100ng/ml
F9	Hours:12 | Compactin:None | KLA:None
F10	Hours:1 | Compactin:50uM | KLA:100ng/ml
F11	Hours:1 | Compactin:50uM | KLA:None
F12	Hours:1 | Compactin:None | KLA:100ng/ml
F13	Hours:1 | Compactin:None | KLA:None
F14	Hours:24 | Compactin:50uM | KLA:100ng/ml
F15	Hours:24 | Compactin:50uM | KLA:None
F16	Hours:24 | Compactin:None | KLA:100ng/ml
F17	Hours:24 | Compactin:None | KLA:None
F18	Hours:2 | Compactin:50uM | KLA:100ng/ml
F19	Hours:2 | Compactin:50uM | KLA:None
F20	Hours:2 | Compactin:None | KLA:100ng/ml
F21	Hours:2 | Compactin:None | KLA:None
F22	Hours:4 | Compactin:50uM | KLA:100ng/ml
F23	Hours:4 | Compactin:50uM | KLA:None
F24	Hours:4 | Compactin:None | KLA:100ng/ml
F25	Hours:4 | Compactin:None | KLA:None
F26	Hours:8 | Compactin:50uM | KLA:100ng/ml
F27	Hours:8 | Compactin:50uM | KLA:None
F28	Hours:8 | Compactin:None | KLA:100ng/ml
F29	Hours:8 | Compactin:None | KLA:None

Data matrix