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Interpreting Deep Neural Networks Beyond Attribution Methods: Quantifying Global Importance of Genomic Features

Peter K. Koo, Matt Ploenzke
doi: https://doi.org/10.1101/2020.02.19.956896
Peter K. Koo
1Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory
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  • For correspondence: koo@cshl.edu
Matt Ploenzke
2Department of Biostatistics, Harvard University
3Department of Data Sciences, Dana-Farber Cancer Institute
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Posted February 20, 2020.
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Interpreting Deep Neural Networks Beyond Attribution Methods: Quantifying Global Importance of Genomic Features
Peter K. Koo, Matt Ploenzke
bioRxiv 2020.02.19.956896; doi: https://doi.org/10.1101/2020.02.19.956896
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Interpreting Deep Neural Networks Beyond Attribution Methods: Quantifying Global Importance of Genomic Features
Peter K. Koo, Matt Ploenzke
bioRxiv 2020.02.19.956896; doi: https://doi.org/10.1101/2020.02.19.956896

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