Flnc: Machine Learning Improves the Identification of Novel Full-length Long Noncoding RNAs from RNA Sequencing Data Without Transcriptional Initiation Profiles

Abstract excerpt

<h4>ABSTRACT</h4> Long noncoding RNAs (lncRNAs) play critical regulatory roles in human development and disease. However, many lncRNAs have yet to be annotated. The conventional approach to identifying novel lncRNAs from RNA sequencing (RNA-seq) data is to find transcripts without coding potential. This approach has a false discovery rate of 30-75%. The majority of these misidentified lncRNAs are RNA fragments or...

Topics

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• Conserved Sequence
• Datasets as Topic
• Enhancer Elements, Genetic
• Internet
• Molecular Sequence Annotation
• Organ Specificity
• RNA, Long Noncoding
• RNA Stability

Identifiers and source

Literature Corpus work

87c63831-659a-55e0-b9b7-d9b589da1344

DOI

10.1101/2022.08.02.502545