OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Developing a Multi-Layer Deep Learning Based Predictive Model to Identify DNA N4-Methylcytosine Modifications
Rao Zeng, Minghong Liao
Frontiers in Bioengineering and Biotechnology (2020) Vol. 8
Open Access | Times Cited: 25
Rao Zeng, Minghong Liao
Frontiers in Bioengineering and Biotechnology (2020) Vol. 8
Open Access | Times Cited: 25
Showing 25 citing articles:
Biological Sequence Classification: A Review on Data and General Methods
Chunyan Ao, Shihu Jiao, Yansu Wang, et al.
Research (2022) Vol. 2022
Open Access | Times Cited: 70
Chunyan Ao, Shihu Jiao, Yansu Wang, et al.
Research (2022) Vol. 2022
Open Access | Times Cited: 70
Prediction of bio-sequence modifications and the associations with diseases
Chunyan Ao, Liang Yu, Quan Zou
Briefings in Functional Genomics (2020) Vol. 20, Iss. 1, pp. 1-18
Closed Access | Times Cited: 72
Chunyan Ao, Liang Yu, Quan Zou
Briefings in Functional Genomics (2020) Vol. 20, Iss. 1, pp. 1-18
Closed Access | Times Cited: 72
iDNA-OpenPrompt: OpenPrompt learning model for identifying DNA methylation
Xia Yu, Jia Ren, Haixia Long, et al.
Frontiers in Genetics (2024) Vol. 15
Open Access | Times Cited: 12
Xia Yu, Jia Ren, Haixia Long, et al.
Frontiers in Genetics (2024) Vol. 15
Open Access | Times Cited: 12
Prediction of regulatory motifs from human Chip-sequencing data using a deep learning framework
Jinyu Yang, Anjun Ma, Adam D. Hoppe, et al.
Nucleic Acids Research (2019) Vol. 47, Iss. 15, pp. 7809-7824
Open Access | Times Cited: 70
Jinyu Yang, Anjun Ma, Adam D. Hoppe, et al.
Nucleic Acids Research (2019) Vol. 47, Iss. 15, pp. 7809-7824
Open Access | Times Cited: 70
4mCBERT: A computing tool for the identification of DNA N4-methylcytosine sites by sequence- and chemical-derived information based on ensemble learning strategies
Sen Yang, Zexi Yang, Jun Yang
International Journal of Biological Macromolecules (2023) Vol. 231, pp. 123180-123180
Closed Access | Times Cited: 17
Sen Yang, Zexi Yang, Jun Yang
International Journal of Biological Macromolecules (2023) Vol. 231, pp. 123180-123180
Closed Access | Times Cited: 17
DeepSF-4mC: A deep learning model for predicting DNA cytosine 4mC methylation sites leveraging sequence features
Zhaomin Yao, Fei Li, Weiming Xie, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108166-108166
Open Access | Times Cited: 6
Zhaomin Yao, Fei Li, Weiming Xie, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108166-108166
Open Access | Times Cited: 6
DCNN-4mC: Densely connected neural network based N4-methylcytosine site prediction in multiple species
Mobeen Ur Rehman, Hilal Tayara, Kil To Chong
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 6009-6019
Open Access | Times Cited: 37
Mobeen Ur Rehman, Hilal Tayara, Kil To Chong
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 6009-6019
Open Access | Times Cited: 37
DNA sequence analysis landscape: a comprehensive review of DNA sequence analysis task types, databases, datasets, word embedding methods, and language models
Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Alam Zaib, et al.
Frontiers in Medicine (2025) Vol. 12
Open Access
Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Alam Zaib, et al.
Frontiers in Medicine (2025) Vol. 12
Open Access
Identifying DNA N4-methylcytosine sites in the rosaceae genome with a deep learning model relying on distributed feature representation
Jhabindra Khanal, Hilal Tayara, Quan Zou, et al.
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 1612-1619
Open Access | Times Cited: 29
Jhabindra Khanal, Hilal Tayara, Quan Zou, et al.
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 1612-1619
Open Access | Times Cited: 29
Deep learning‐enabled discovery and characterization of HKT genes in Spartina alterniflora
Maogeng Yang, Shoukun Chen, Zhangping Huang, et al.
The Plant Journal (2023) Vol. 116, Iss. 3, pp. 690-705
Open Access | Times Cited: 10
Maogeng Yang, Shoukun Chen, Zhangping Huang, et al.
The Plant Journal (2023) Vol. 116, Iss. 3, pp. 690-705
Open Access | Times Cited: 10
Transfer Learning in Cancer Genetics, Mutation Detection, Gene Expression Analysis, and Syndrome Recognition
Hamidreza Ashayeri, Navid Sobhi, Paweł Pławiak, et al.
Cancers (2024) Vol. 16, Iss. 11, pp. 2138-2138
Open Access | Times Cited: 3
Hamidreza Ashayeri, Navid Sobhi, Paweł Pławiak, et al.
Cancers (2024) Vol. 16, Iss. 11, pp. 2138-2138
Open Access | Times Cited: 3
Research Progress in Predicting DNA Methylation Modifications and the Relation with Human Diseases
Chunyan Ao, Lin Gao, Liang Yu
Current Medicinal Chemistry (2021) Vol. 29, Iss. 5, pp. 822-836
Closed Access | Times Cited: 22
Chunyan Ao, Lin Gao, Liang Yu
Current Medicinal Chemistry (2021) Vol. 29, Iss. 5, pp. 822-836
Closed Access | Times Cited: 22
Systematic Analysis and Accurate Identification of DNA N4-Methylcytosine Sites by Deep Learning
Lezheng Yu, Yonglin Zhang, Xue Li, et al.
Frontiers in Microbiology (2022) Vol. 13
Open Access | Times Cited: 12
Lezheng Yu, Yonglin Zhang, Xue Li, et al.
Frontiers in Microbiology (2022) Vol. 13
Open Access | Times Cited: 12
MCA-Net: Multi-Feature Coding and Attention Convolutional Neural Network for Predicting lncRNA-Disease Association
Yuan Zhang, Fei Ye, Xieping Gao
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021) Vol. 19, Iss. 5, pp. 2907-2919
Closed Access | Times Cited: 15
Yuan Zhang, Fei Ye, Xieping Gao
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021) Vol. 19, Iss. 5, pp. 2907-2919
Closed Access | Times Cited: 15
DRSN4mCPred: accurately predicting sites of DNA N4-methylcytosine using deep residual shrinkage network for diagnosis and treatment of gastrointestinal cancer in the precision medicine era
Xia Yu, Jia Ren, Yani Cui, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 5
Xia Yu, Jia Ren, Yani Cui, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 5
4mCPred-MTL: Accurate Identification of DNA 4mC Sites in Multiple Species Using Multi-Task Deep Learning Based on Multi-Head Attention Mechanism
Rao Zeng, Song Cheng, Minghong Liao
Frontiers in Cell and Developmental Biology (2021) Vol. 9
Open Access | Times Cited: 10
Rao Zeng, Song Cheng, Minghong Liao
Frontiers in Cell and Developmental Biology (2021) Vol. 9
Open Access | Times Cited: 10
PSP-PJMI: An innovative feature representation algorithm for identifying DNA N4-methylcytosine sites
Mingzhao Wang, Juanying Xie, P.W. Grant, et al.
Information Sciences (2022) Vol. 606, pp. 968-983
Closed Access | Times Cited: 4
Mingzhao Wang, Juanying Xie, P.W. Grant, et al.
Information Sciences (2022) Vol. 606, pp. 968-983
Closed Access | Times Cited: 4
DNA methylation in T cell leukaemia
Maike Bensberg
Linköping University medical dissertations (2024)
Open Access
Maike Bensberg
Linköping University medical dissertations (2024)
Open Access
iDNA-ITLM: An interpretable and transferable learning model for identifying DNA methylation
Xia Yu, Yani Cui, Zhichao Wang, et al.
PLoS ONE (2024) Vol. 19, Iss. 10, pp. e0301791-e0301791
Open Access
Xia Yu, Yani Cui, Zhichao Wang, et al.
PLoS ONE (2024) Vol. 19, Iss. 10, pp. e0301791-e0301791
Open Access
iResNetDM: An interpretable deep learning approach for four types of DNA methylation modification prediction
Zerui Yang, Wei Shao, Yudai Matsuda, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 4214-4221
Open Access
Zerui Yang, Wei Shao, Yudai Matsuda, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 4214-4221
Open Access
iResNetDM: interpretable and comprehensive deep learning model for 4 types of DNA modifications prediction
Zerui Yang, Wei Shao, Yudai Matsuda, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Zerui Yang, Wei Shao, Yudai Matsuda, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
PorcineAI-Enhancer: Prediction of Pig Enhancer Sequences Using Convolutional Neural Networks
Ji Wang, Han Zhang, Nanzhu Chen, et al.
Animals (2023) Vol. 13, Iss. 18, pp. 2935-2935
Open Access | Times Cited: 1
Ji Wang, Han Zhang, Nanzhu Chen, et al.
Animals (2023) Vol. 13, Iss. 18, pp. 2935-2935
Open Access | Times Cited: 1
DNA/RNA sequence feature representation algorithms for predicting methylation-modified sites
Juanying Xie, Mingzhao Wang, Sheng‐Quan Xu
Scientia Sinica Vitae (2022) Vol. 53, Iss. 6, pp. 841-875
Closed Access | Times Cited: 2
Juanying Xie, Mingzhao Wang, Sheng‐Quan Xu
Scientia Sinica Vitae (2022) Vol. 53, Iss. 6, pp. 841-875
Closed Access | Times Cited: 2
A novel method for predicting DNA N4-methylcytosine sites based on deep forest algorithm
Yonglin Zhang, Mei Hu, Qi Mo, et al.
Journal of Bioinformatics and Computational Biology (2023) Vol. 21, Iss. 01
Closed Access
Yonglin Zhang, Mei Hu, Qi Mo, et al.
Journal of Bioinformatics and Computational Biology (2023) Vol. 21, Iss. 01
Closed Access
A Novel Method for Predicting DNA N4-Methylcytosine Sites Based on Deep Forest Algorithm
zhang yonglin, Mei Hu, Qi Mo, et al.
SSRN Electronic Journal (2022)
Closed Access
zhang yonglin, Mei Hu, Qi Mo, et al.
SSRN Electronic Journal (2022)
Closed Access
