Flnc: Machine Learning Improves the Identification of Novel Long Noncoding RNAs from Stand-Alone RNA-Seq Data

Flnc: Machine Learning Improves the Identification of Novel Long Noncoding RNAs from Stand-Alone RNA-Seq Data

Long noncoding RNAs (lncRNAs) play critical regulatory roles in human development and disease. Although there are over 100,000 samples with available RNA sequencing (RNA-seq) data, many lncRNAs have yet to be annotated. The conventional approach to identifying novel lncRNAs from RNA-seq data is to f...

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Bibliographic Details
Main Authors: Zixiu Li, Peng Zhou, Euijin Kwon, Katherine A. Fitzgerald, Zhiping Weng, Chan Zhou
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Non-Coding RNA
Subjects:
lncRNA
machine learning
RNA-seq
tool
unannotated
Online Access:https://www.mdpi.com/2311-553X/8/5/70

Internet

https://www.mdpi.com/2311-553X/8/5/70

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