Clustering data with heatmap algorithm for (Study ST004002)

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 source:Blank | Cell line:Blank | Species:- | Disease:-
F2Sample source:Cell EVs | Cell line:B16 | Species:Mouse | Disease:Melanoma
F3Sample source:Cell EVs | Cell line:E0771 | Species:Human | Disease:Breast cancer
F4Sample source:Cell EVs | Cell line:HEK293T | Species:Human | Disease:Embryonic kidney cells
F5Sample source:Cell EVs | Cell line:MB49-luc2 | Species:Mouse | Disease:Bladder cancer
F6Sample source:Cell EVs | Cell line:MC38 | Species:Mouse | Disease:Colorectal cancer
F7Sample source:Cell EVs | Cell line:Melan-A | Species:Mouse | Disease:Non-malignant melanocyte
F8Sample source:Cell EVs | Cell line:Sk-Mel28 | Species:Human | Disease:Melanoma
F9Sample source:Cell EVs | Cell line:Yumm1.7 | Species:Mouse | Disease:Melanoma
F10Sample source:Cell EVs | Cell line:Yummer | Species:Mouse | Disease:Melanoma
F11Sample source:pooled QC | Cell line:pooled QC | Species:- | Disease:-
Data matrix
  logo