LncRNA Subcellular Localization Signals – Are the Two Ends Equal? A Machine Learning Analysis Across Multiple Cell Lines-Reference-Cited by-同舟云学术

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LncRNA Subcellular Localization Signals – Are the Two Ends Equal? A Machine Learning Analysis Across Multiple Cell Lines

Published:2023-12-05 Issue: Volume:12 Page:2783-2789
ISSN:
Container-title:2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
language:
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Author:

Yi Weijun¹,Miller Jason R²,Hu Gangqing³,Adjeroh Donald A.¹

Affiliation:

1. West Virginia University,Computer Science and Electrical Engineering,Morgantown,WV,USA

2. Shepherd University,Computer Science, Mathematics, & Engineering,Shepherdstown,WV,USA

3. WVU School of Medicine,Microbiology, Immunology, and Cell Biology,Morgantown,WV,USA

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10385250/10385251/10385263.pdf?arnumber=10385263

Reference14 articles.

1. Mechanisms of Long Noncoding RNA Nuclear Retention

2. Sequence Determinants for Nuclear Retention and Cytoplasmic Export of mRNAs and lncRNAs

3. The Consensus 5' Splice Site Motif Inhibits mRNA Nuclear Export

4. Exploring the lncRNA localization landscape within the retinal pigment epithelium under normal and stress conditions

5. Predictive models of subcellular localization of long RNAs

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