Published April 12, 2019 | Version v1

Raw data for MSI prediction from HE

Authors/Creators

  • 1. RWTH University Aachen

Description

  • Network_comparison.xlsx 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 "Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer"
  • TCGA_GI_Test_set_predictions.xlsx 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 "Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer"
  • DACHS_predictions.xlsx contains predicted MSIness for DACHS patients. This is related to Extended Data Figure 2 in our manuscript "Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer"
  • DACHS_MSIness_in_geneticMSS.xlsx contains MSIness raw data for genetic MSS DACHS patients. This is related to Extended Data Figure 2 in our manuscript "Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer"

in all files, each line is one patient.

Files

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md5:4c108e721d6189d0304eaa1d13ba1873
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