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Interpretable Deep Learning Model Reveals Subsequences of Various Functions for Long Non-coding RNA Identification

2022-02-14

Abstract excerpt

Long non-coding RNAs (lncRNAs) play crucial roles in many biological processes and are implicated in several diseases. With the next-generation sequencing technologies, substantial un-annotated transcripts have been discovered. Classifying unannotated transcripts using biological experiments is more time-consuming and expensive than computational approaches. Several tools for identifying long non-coding RNAs are a...

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Literature Corpus work
e9f171c9-a891-5087-8a25-2ff08c96852f
DOI
10.1101/2022.02.11.479495
Open publication

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Interpretable Deep Learning Model Reveals Subsequences of Various Functions for Long Non-coding RNA IdentificationDOI 10.1101/2022.02.11.479495
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