Mappings of tumor-infiltrating lymphocytes (TILs), based on H&E images from 13 of The Cancer Genome Atlas (TCGA)<\/a> tumor types are available here. These TIL maps are derived through computational staining, using a convolutional neural network trained to classify patches of images. In addition to the TIL Maps, the analysis codes and the software used to extract TILs are also available.\u00a0<\/span> <\/span>The accompanying paper contains detailed information about our methods and our findings.\u00a0 The source histopathology, molecular correlates and clinical data used in this study can be found on the Genomic Data Commons<\/a>.\u00a0 More information about the tools used to generate these results can be found\u00a0 on the QuIP Software Stack<\/a> and TIL Classification Software<\/a> pages.\u00a0 Answers to commonly asked questions about these data are contained in this\u00a0FAQs<\/a>\u00a0document.\u00a0<\/p>TCGA Tumor Types Used in this Study<\/span><\/h4>