Automated Learning of Subcellular Variation among Punctate Protein Patterns and a Generative Model of Their Relation to Microtubules
Fig 2
Distribution of cells of the combinations of proteins and cell lines in the first three principal components learned from the whole feature space by PCA.
The number for each point indicates the protein index and the color indicates the cell line (red for A-431, green for U-2OS and blue for U-251MG). The gray ellipses represent the scope of 1.5 standard deviations, which contain about 50% to 80% of cells. The arrows summarize the composition of each principal component by showing the direction in which each feature increases (see S1 Table for the list of features). The left panel shows the first and second principal components while the right panel shows the second and third principal components. Feature projections with a magnitude less than 0.1 were removed for visualization purposes.