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:
SAResNet: self-attention residual network for predicting DNA-protein binding
Long-Chen Shen, Yan Liu, Jiangning Song, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 5
Open Access | Times Cited: 40
Long-Chen Shen, Yan Liu, Jiangning Song, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 5
Open Access | Times Cited: 40
Showing 26-50 of 40 citing articles:
SOFB is a comprehensive ensemble deep learning approach for elucidating and characterizing protein-nucleic-acid-binding residues
Bin Zhang, Zilong Hou, Yuning Yang, et al.
Communications Biology (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 1
Bin Zhang, Zilong Hou, Yuning Yang, et al.
Communications Biology (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 1
BCDB: A Dual-Branch Network Based on Transformer for Predicting Transcription Factor Binding Sites
Jiaqi He, Yupeng Zhang, Yuhang Liu, et al.
Methods (2024)
Closed Access | Times Cited: 1
Jiaqi He, Yupeng Zhang, Yuhang Liu, et al.
Methods (2024)
Closed Access | Times Cited: 1
Improving the prediction of DNA-protein binding by integrating multi-scale dense convolutional network with fault-tolerant coding
Yuhang Yin, Long-Chen Shen, Yuan-Hao Jiang, et al.
Analytical Biochemistry (2022) Vol. 656, pp. 114878-114878
Closed Access | Times Cited: 7
Yuhang Yin, Long-Chen Shen, Yuan-Hao Jiang, et al.
Analytical Biochemistry (2022) Vol. 656, pp. 114878-114878
Closed Access | Times Cited: 7
BertSNR: an interpretable deep learning framework for single-nucleotide resolution identification of transcription factor binding sites based on DNA language model
Hanyu Luo, Li Tang, Min Zeng, et al.
Bioinformatics (2024) Vol. 40, Iss. 8
Open Access
Hanyu Luo, Li Tang, Min Zeng, et al.
Bioinformatics (2024) Vol. 40, Iss. 8
Open Access
DeepUTF: Locating transcription factor binding sites via interpretable dual-channel encoder-decoder structure
Pengju Ding, Jianxin Wang, Shiyue He, et al.
Pattern Recognition (2024), pp. 111279-111279
Closed Access
Pengju Ding, Jianxin Wang, Shiyue He, et al.
Pattern Recognition (2024), pp. 111279-111279
Closed Access
RiceSNP-ABST: a deep learning approach to identify abiotic stress-associated single nucleotide polymorphisms in rice
Quan Lu, Jiang Xu, Renyi Zhang, et al.
Briefings in Bioinformatics (2024) Vol. 26, Iss. 1
Open Access
Quan Lu, Jiang Xu, Renyi Zhang, et al.
Briefings in Bioinformatics (2024) Vol. 26, Iss. 1
Open Access
MAHyNet: Parallel Hybrid Network for RNA-Protein Binding Sites Prediction Based on Multi-Head Attention and Expectation Pooling
Wei Wang, Zhenxi Sun, Dong Liu, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2024) Vol. 21, Iss. 3, pp. 416-427
Closed Access
Wei Wang, Zhenxi Sun, Dong Liu, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2024) Vol. 21, Iss. 3, pp. 416-427
Closed Access
CBLANE: A deep learning approach for Transcription Factor Binding Sites Prediction
Jonas Chris Ferrao, Dickson Dias, Sweta Morajkar
Research Square (Research Square) (2024)
Open Access
Jonas Chris Ferrao, Dickson Dias, Sweta Morajkar
Research Square (Research Square) (2024)
Open Access
A Protein-DNA Binding Site Prediction Method Based on Multi-View Feature Fusion of Adjacent Residue
Ji Yang, Shuning Zhang
IEEE Access (2023) Vol. 11, pp. 79609-79623
Open Access | Times Cited: 1
Ji Yang, Shuning Zhang
IEEE Access (2023) Vol. 11, pp. 79609-79623
Open Access | Times Cited: 1
PTFSpot: Deep co-learning on transcription factors and their binding regions attains impeccable universality in plants
Sagar Gupta, Veerbhan Kesarwani, Umesh Bhati, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Sagar Gupta, Veerbhan Kesarwani, Umesh Bhati, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
ResAtom System: Protein and Ligand Affinity Prediction Model Based on Deep Learning
Yeji Wang, Shuo Wu, Yanwen Duan, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 2
Yeji Wang, Shuo Wu, Yanwen Duan, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 2
How Deepbics Quantifies Intensities of Transcription Factor-DNA Binding and Facilitates Prediction of Single Nucleotide Variant Pathogenicity With a Deep Learning Model Trained On ChIP-Seq Data Sets
Lijun Quan, Xiaomin Chu, Xiaoyu Sun, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022) Vol. 20, Iss. 2, pp. 1594-1599
Closed Access | Times Cited: 1
Lijun Quan, Xiaomin Chu, Xiaoyu Sun, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022) Vol. 20, Iss. 2, pp. 1594-1599
Closed Access | Times Cited: 1
Jun Zhang, Qingcai Chen, Bin Liu
Proteins Structure Function and Bioinformatics (2023) Vol. 92, Iss. 3, pp. 395-410
Closed Access
The Reasonable Effectiveness of Randomness in Scalable and Integrative Gene Regulatory Network Inference and Beyond
Michael Banf, Thomas Hartwig
Computation (2021) Vol. 9, Iss. 12, pp. 146-146
Open Access
Michael Banf, Thomas Hartwig
Computation (2021) Vol. 9, Iss. 12, pp. 146-146
Open Access
