I'll use t-SNE to get an overview of cell line clustering based on gene expression data from the CCLE.
import tsne_fun
tsne_fun.normalize_and_make_tsne('exp')
(18874, 37) always show cmaps
Above you can see that the cell lines cluster according to their histology and not plex (from the CST experiments) based on gene expression data.
tsne_fun.normalize_and_make_tsne('exp')
(18874, 37)
import matplotlib.pyplot as plt
tmp = plt.get_cmap('jet')
print(tmp)
<matplotlib.colors.LinearSegmentedColormap object at 0x11494b310>
import matplotlib
tmp = matplotlib.cm.get_cmap()
print(tmp.__doc__)
Colormap objects based on lookup tables using linear segments. The lookup table is generated using linear interpolation for each primary color, with the 0-1 domain divided into any number of segments.