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FLYNC: A Machine Learning-Driven Framework for Discovering Long Non-Coding RNAs in <i>Drosophila melanogaster</i>

2024-03-01

Abstract excerpt

<h4>ABSTRACT</h4> Non-coding RNAs have increasingly recognized roles in critical molecular mechanisms of disease. However, the non-coding genome of Drosophila melanogaster , one of the most powerful disease model organisms, has been understudied. Here, we present FLYNC – FLY Non-Coding discovery and classification – a novel machine learning-based model that predicts the probability of a newly identified RNA tran...

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Literature Corpus work: 188de027-3ec8-5466-8295-928ebad40ce4
DOI: 10.1101/2024.02.27.582305

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