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Adapting Nanopore Sequencing Basecalling Models for Modification Detection via Incremental Learning and Anomaly Detection

2023-12-20

Abstract excerpt

<h4>ABSTRACT</h4> We leverage machine learning approaches to adapt nanopore sequencing basecallers for nucleotide modification detection. We first apply the incremental learning technique to improve the basecalling of modification-rich sequences, which are usually of high biological interests. With sequence backbones resolved, we further run anomaly detection on individual nucleotides to determine their modificat...

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Literature Corpus work
ee45f8dc-7cf9-5c8f-aed0-bc351c11f383
DOI
10.1101/2023.12.19.572431
Open publication

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Adapting Nanopore Sequencing Basecalling Models for Modification Detection via Incremental Learning and Anomaly DetectionDOI 10.1101/2023.12.19.572431
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