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Jiyun Zhou
Jiyun Zhou
Johns Hopkins University
Verified email at libd.org
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Cited by
Year
iDNA-Prot| dis: identifying DNA-binding proteins by incorporating amino acid distance-pairs and reduced alphabet profile into the general pseudo amino acid composition
B Liu, J Xu, X Lan, R Xu, J Zhou, X Wang, KC Chou
PloS one 9 (9), e106691, 2014
3152014
PseDNA‐Pro: DNA‐binding protein identification by combining Chou’s PseAAC and physicochemical distance transformation
B Liu, J Xu, S Fan, R Xu, J Zhou, X Wang
Molecular Informatics 34 (1), 8-17, 2015
1692015
Identification of DNA-binding proteins by incorporating evolutionary information into pseudo amino acid composition via the top-n-gram approach
R Xu, J Zhou, B Liu, Y He, Q Zou, X Wang, KC Chou
Journal of Biomolecular Structure and Dynamics 33 (8), 1720-1730, 2015
1052015
Identifying DNA-binding proteins by combining support vector machine and PSSM distance transformation
R Xu, J Zhou, H Wang, Y He, X Wang, B Liu
BMC systems biology 9, 1-12, 2015
1042015
CNNH_PSS: protein 8-class secondary structure prediction by convolutional neural network with highway
J Zhou, H Wang, Z Zhao, R Xu, Q Lu
BMC bioinformatics 19, 99-109, 2018
542018
CNNsite: Prediction of DNA-binding residues in proteins using Convolutional Neural Network with sequence features
J Zhou, Q Lu, R Xu, L Gui, H Wang
2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016
442016
enDNA-Prot: identification of DNA-binding proteins by applying ensemble learning
R Xu, J Zhou, B Liu, L Yao, Y He, Q Zou, X Wang
BioMed Research International 2014, 2014
402014
EL_PSSM-RT: DNA-binding residue prediction by integrating ensemble learning with PSSM relation transformation
J Zhou, Q Lu, R Xu, Y He, H Wang
BMC bioinformatics 18, 1-16, 2017
312017
EL_LSTM: prediction of DNA-binding residue from protein sequence by combining long short-term memory and ensemble learning
J Zhou, Q Lu, R Xu, L Gui, H Wang
IEEE/ACM transactions on computational biology and bioinformatics 17 (1 …, 2018
302018
Multi task mutual learning for joint sentiment classification and topic detection
L Gui, J Leng, J Zhou, R Xu, Y He
IEEE Transactions on Knowledge and Data Engineering 34 (4), 1915-1927, 2020
292020
MTTFsite: cross-cell type TF binding site prediction by using multi-task learning
J Zhou, Q Lu, L Gui, R Xu, Y Long, H Wang
Bioinformatics 35 (24), 5067-5077, 2019
242019
PDNAsite: identification of DNA-binding site from protein sequence by incorporating spatial and sequence context
J Zhou, R Xu, Y He, Q Lu, H Wang, B Kong
Scientific reports 6 (1), 27653, 2016
182016
Cross-cell-type prediction of TF-binding site by integrating convolutional neural network and adversarial network
G Lan, J Zhou, R Xu, Q Lu, H Wang
International journal of molecular sciences 20 (14), 3425, 2019
172019
A mixed model for cross lingual opinion analysis
L Gui, R Xu, J Xu, L Yuan, Y Yao, J Zhou, Q Qiu, S Wang, KF Wong, ...
CCF International Conference on Natural Language Processing and Chinese …, 2013
172013
Detecting fake reviews using multidimensional representations with fine-grained aspects plan
M Liu, Y Shang, Q Yue, J Zhou
IEEE Access 9, 3765-3773, 2020
152020
Deep learning predicts DNA methylation regulatory variants in the human brain and elucidates the genetics of psychiatric disorders
J Zhou, Q Chen, PR Braun, KA Perzel Mandell, AE Jaffe, HY Tan, ...
Proceedings of the National Academy of Sciences 119 (34), e2206069119, 2022
122022
Prediction of TF-binding site by inclusion of higher order position dependencies
J Zhou, Q Lu, R Xu, L Gui, H Wang
IEEE/ACM Transactions on Computational Biology and Bioinformatics 17 (4 …, 2019
92019
T-bert: A spam review detection model combining group intelligence and personalized sentiment information
Y Shang, M Liu, T Zhao, J Zhou
International Conference on Artificial Neural Networks, 409-421, 2021
72021
Prediction of DNA-binding residues from sequence information using convolutional neural network
J Zhou, Q Lu, R Xu, L Gui, H Wang
International Journal of Data Mining and Bioinformatics 17 (2), 132-152, 2017
22017
PTWA: pre-training with word attention for chinese named entity recognition
K Ma, M Liu, T Zhao, J Zhou, Y Yu
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
12021
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