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Article

Interpretable Machine Learning for Genomics

2021-05-24

Abstract excerpt

<title>Abstract</title> <p>High-throughput technologies such as next generation sequencing allow biologists to observe cell function with unprecedented resolution, but the resulting datasets are too large and complicated for humans to understand without the aid of advanced statistical methods. Machine learning (ML) algorithms, which are designed to automatically find patterns in data, are well suited to this task...

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Literature Corpus work
c4c0507a-4d07-52a4-a14f-3275e93ec692
DOI
10.21203/rs.3.rs-448572/v1
Open publication

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Interpretable Machine Learning for GenomicsDOI 10.21203/rs.3.rs-448572/v1
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