Hybrid Approach Using SVM and MM2 in Splice Site Junction Identification-Reference-Cited by-同舟云学术

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Hybrid Approach Using SVM and MM2 in Splice Site Junction Identification

Published:2014-01-31 Issue:1 Volume:9 Page:76-85
ISSN:1574-8936
Container-title:Current Bioinformatics
language:en
Short-container-title:CBIO

Author:

Maji Srabanti,Garg Deepak

Publisher

Bentham Science Publishers Ltd.

Subject

Computational Mathematics,Genetics,Molecular Biology,Biochemistry

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predicting DNA sequence splice site based on graph convolutional network and DNA graph construction;Journal of King Saud University - Computer and Information Sciences;2024-06

2. Spliceator: multi-species splice site prediction using convolutional neural networks;BMC Bioinformatics;2021-11-23

3. Improved recognition of splice sites in A. thaliana by incorporating secondary structure information into sequence-derived features: a computational study;3 Biotech;2021-10-31

4. Splicing sites prediction of human genome using machine learning techniques;Multimedia Tools and Applications;2021-05-20

5. EDeepSSP: Explainable deep neural networks for exact splice sites prediction;Journal of Bioinformatics and Computational Biology;2020-07-22

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