OsterlundJBC_Figure 8

Figure 8 data Includes: -Panel A, Visualization of multidimensional Red channel MCF-7 image data after dimension reduction using the t-SNE algorithm. Each point represents 1 of the 3000 cells randomly selected from the 143,211 total cells for each of the 4 landmarks (listed in legend). For visualization, the 300 cells closest to the centroid were displayed. See Supplementary Fig7C for more data. -Panel B, Confusion Matrix, plotting Predicted versus True(known localization of the red channel landmark) labels for the validation set of Red channel single cell images, which were not included in the initial training step. Data was normalized to the total number of cells from the true label of each landmark. See Supplementary Fig7D for original data. -Panels C-D, Original pie charts and the number of cells analyzed per transfection for each cell line (per pie chart), exported from python. \"PredictedLabel\" indicates the label predicted by the classifier. \"TrueLabel\" indicates the ground truth label (known from the Platemap for each landmark in the Red Channel). Single-cell image dataset was too large to upload. Contact [e-mail], if desired.