Raw data for MSI prediction from HE

<ul> <li><strong>Network_comparison.xlsx</strong> contains raw data for the comparison of different neural network models on the tumor detection benchmark task. This is related to Extended Data Figure 1 in our manuscript &quot;Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer&quot;</li> <li><strong>TCGA_GI_Test_set_predictions.xlsx</strong> contains predicted MSIness for test set patients in TCGA-CRC-KR, TCGA-CRC-DX, TCGA-STAD. This is related to Extended Data Figure 2 in our manuscript &quot;Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer&quot;</li> <li><strong>DACHS_predictions.xlsx</strong> contains predicted MSIness for DACHS patients. This is related to Extended Data Figure 2 in our manuscript &quot;Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer&quot;</li> <li><strong>DACHS_MSIness_in_geneticMSS.xlsx </strong>contains MSIness raw data for genetic MSS DACHS patients. This is related to Extended Data Figure 2 in our manuscript &quot;Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer&quot;</li> </ul> <p>in all files, each line is one patient.</p>