Article

Opening the Black Box: Interpretable Machine Learning for Geneticists

2020-02-17

Abstract excerpt

Machine learning (ML) has emerged as a critical tool for making sense of the growing amount of genetic and genomic data available because of its ability to find complex patterns in high dimensional and heterogeneous data. While the complexity of ML models is what makes them powerful, it also makes them difficult to interpret. Fortunately, recent efforts to develop approaches that make the inner workings of ML mode...

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Literature Corpus work: a396de3d-6723-55c1-bddc-8f719c5735ec
DOI: 10.20944/preprints202002.0239.v1

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