SpliceCannon: A novel framework for the prediction of canonical and non-canonical splice sites based on deep learning-Reference-Cited by-同舟云学术

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SpliceCannon: A novel framework for the prediction of canonical and non-canonical splice sites based on deep learning

Published:2023-12-05 Issue: Volume:9 Page:142-146
ISSN:
Container-title:2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Zhang Yanju¹,Qi Wangjing¹,Lin Ruohan¹,Fan Jinli¹

Affiliation:

1. Guilin University of Electronic Technology,Guangxi Key Laboratory of Image and Graphic Intelligent Processing,Guilin,China

Funder

National Natural Science Foundation of China

Guangxi Key Laboratory of Image and Graphic Intelligent Processing

Guilin University of Electronic Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10385250/10385251/10385750.pdf?arnumber=10385750

Reference19 articles.

1. Prognostic alternative mRNA splicing signature in non-small cell lung cancer

2. Alternative splicing as a source of phenotypic diversity

3. Analysis of canonical and non-canonical splice sites in mammalian genomes

4. Lessons from non-canonical splicing

5. Regulation of pre-mRNA splicing: roles in physiology and disease, and therapeutic prospects

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