BERT-Promoter: An improved sequence-based predictor of DNA promoter using BERT pre-trained model and SHAP feature selection-Reference-Cited by-同舟云学术

BERT-Promoter: An improved sequence-based predictor of DNA promoter using BERT pre-trained model and SHAP feature selection

Published:2022-08 Issue: Volume:99 Page:107732
ISSN:1476-9271
Container-title:Computational Biology and Chemistry
language:en
Short-container-title:Computational Biology and Chemistry

Author:

Le Nguyen Quoc Khanh,Ho Quang-Thai,Nguyen Van-Nui,Chang Jung-Su

Funder

Ministry of Science and Technology, Taiwan

Publisher

Elsevier BV

Subject

Computational Mathematics,Organic Chemistry,Biochemistry,Structural Biology

Reference30 articles.

1. Performance assessment of promoter predictions on ENCODE regions in the EGASP experiment;Bajic;Genome Biol.,2006

2. Charoenkwan, P., et al., BERT4Bitter: a bidirectional encoder representations from transformers (BERT)-based model for improving the prediction of bitter peptides. Bioinformatics, 2021.

3. iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data;Chen;Brief. Bioinform.,2020

4. Computational identification of promoters and first exons in the human genome;Davuluri;Nat. Genet.,2001

5. Devlin, J., et al. BERT: pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 1 (Long and Short Papers). 2019.

Cited by 60 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. A novel deep learning identifier for promoters and their strength using heterogeneous features;Methods;2024-10

2. Assessing parameter efficient methods for pre-trained language model in annotating scRNA-seq data;Methods;2024-08

3. The research landscape on generative artificial intelligence: a bibliometric analysis of transformer-based models;Kybernetes;2024-07-19

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

5. Hepatitis C Prediction Using Machine Learning and Deep Learning-Based Hybrid Approach with Biomarker and Clinical Data;Biomedical Materials & Devices;2024-06-05