Learning unsupervised feature representations for single cell microscopy images with paired cell inpainting
Fig 4
A clustered heat map of paired cell inpainting feature representation of proteins in the Human Protein Atlas.
Proteins are ordered using maximum likelihood agglomerative hierarchical clustering. We visualize the average of paired cell inpainting features for all cells for each protein as a heat map, where positive values are colored yellow and negative values are colored blue, with the intensity of the color corresponding to magnitude. Columns in this heat map are features, while rows are proteins. Features have been mean-centered and normalized. We manually select major clusters (grey and black bars on the right), as well as some sub-clusters within these major clusters (orange and purple bars on the right), for enrichment analysis, presented in Table 3. On the right panels (panels a-e), we show representative examples of the protein channel (green) of cells from proteins (as labeled) in the clusters indicated by arrows from the images.