Classifying Promoters by Interpreting the Hidden Information of DNA Sequences via Deep Learning and Combination of Continuous FastText N-Grams-Reference-Cited by-同舟云学术

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Classifying Promoters by Interpreting the Hidden Information of DNA Sequences via Deep Learning and Combination of Continuous FastText N-Grams

Published:2019-11-05 Issue: Volume:7 Page:
ISSN:2296-4185
Container-title:Frontiers in Bioengineering and Biotechnology
language:
Short-container-title:Front. Bioeng. Biotechnol.

Author:

Le Nguyen Quoc Khanh,Yapp Edward Kien Yee,Nagasundaram N.,Yeh Hui-Yuan

Funder

Nanyang Technological University

Publisher

Frontiers Media SA

Subject

Biomedical Engineering,Histology,Bioengineering,Biotechnology

Reference39 articles.

1. Continuous distributed representation of biological sequences for deep proteomics and genomics;Asgari;PLoS ONE,2015

2. PromoterPredict: sequence-based modelling of Escherichia coli σ70 promoter strength yields logarithmic dependence between promoter strength and sequence;Bharanikumar;PeerJ,2018

3. Enriching word vectors with subword information;Bojanowski;Trans. Assoc. Comp. Lingu.,2017

4. The use of the area under the ROC curve in the evaluation of machine learning algorithms;Bradley;Pattern Recognit.,1997

5. Prediction of protein signal sequences and their cleavage sites;Chou;Proteins,2001

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1. DNA N-gram analysis framework (DNAnamer): A generalized N-gram frequency analysis framework for the supervised classification of DNA sequences;Heliyon;2024-09

2. Comprehensive network modeling approaches unravel dynamic enhancer-promoter interactions across neural differentiation;Genome Biology;2024-08-14

3. Predicting Promoters in Multiple Prokaryotes with Prompt;Interdisciplinary Sciences: Computational Life Sciences;2024-08-07

4. Design, Development and Comparison of Hybrid Approaches for DNA Promoter Identification;2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS);2024-06-28

5. iProL: identifying DNA promoters from sequence information based on Longformer pre-trained model;BMC Bioinformatics;2024-06-25

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