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Unsupervised explainable AI for the collective analysis of a massive number of genome sequences: various examples from the small genome of pandemic SARS-CoV-2 to the human genome

2021-05-24

Abstract excerpt

<h4>ABSTRACT</h4> In genetics and related fields, huge amounts of data, such as genome sequences, are accumulating, and the use of artificial intelligence (AI) suitable for big data analysis has become increasingly important. Unsupervised AI that can reveal novel knowledge from big data without prior knowledge or particular models is highly desirable for analyses of genome sequences, particularly for obtaining un...

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Literature Corpus work
1d8748e6-5fe4-5f95-93a6-8972361362d5
DOI
10.1101/2021.05.23.445371
Open publication

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Unsupervised explainable AI for the collective analysis of a massive number of genome sequences: various examples from the small genome of pandemic SARS-CoV-2 to the human genomeDOI 10.1101/2021.05.23.445371
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