Kai Zheng

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 19

Top Topics

Rotation Forest

Negative Matrix Factorization

Probability Model

Protein Structure And Function

Top Venues

Briefings Bioinform.

PLoS Comput. Biol.

Publications

Kai Zheng, Xin-Lu Zhang, Lei Wang, Zhu-Hong You, Bo-Ya Ji, Xiao Liang, Zheng-Wei Li
SPRDA: a link prediction approach based on the structural perturbation to infer disease-associated Piwi-interacting RNAs. Briefings Bioinform. 24 (1) (2023)
Kai Zheng, Xin-Lu Zhang, Lei Wang, Zhu-Hong You, Zhao-Hui Zhan, Hao-Yuan Li
Line graph attention networks for predicting disease-associated Piwi-interacting RNAs. Briefings Bioinform. 23 (6) (2022)
Mei-Neng Wang, Zhu-Hong You, Lei Wang, Li-Ping Li, Kai Zheng
LDGRNMF: LncRNA-disease associations prediction based on graph regularized non-negative matrix factorization. Neurocomputing 424 (2021)
Zhen-Hao Guo, Zhu-Hong You, De-Shuang Huang, Hai-Cheng Yi, Kai Zheng, Zhan-Heng Chen, Yan-Bin Wang
MeSHHeading2vec: a new method for representing MeSH headings as vectors based on graph embedding algorithm. Briefings Bioinform. 22 (2) (2021)
Kai Zheng, Zhu-Hong You, Lei Wang, Yi-Ran Li, Ji-Ren Zhou, Haitao Zeng
MISSIM: An Incremental Learning-Based Model With Applications to the Prediction of miRNA-Disease Association. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (5) (2021)
Lei Wang, Zhu-Hong You, Xin Yan, Kai Zheng, Zheng-Wei Li
GCNSP: A Novel Prediction Method of Self-Interacting Proteins Based on Graph Convolutional Networks. ICIC (2) (2020)
Lei Wang, Zhu-Hong You, Yang-Ming Li, Kai Zheng, Yu-An Huang
GCNCDA: A new method for predicting circRNA-disease associations based on Graph Convolutional Network Algorithm. PLoS Comput. Biol. 16 (5) (2020)
Kai Zheng, Zhu-Hong You, Lei Wang, Leon Wong, Zhan-Heng Chen
Inferring Disease-Associated Piwi-Interacting RNAs via Graph Attention Networks. ICIC (2) (2020)
Xin Yan, Lei Wang, Zhu-Hong You, Li-Ping Li, Kai Zheng
GANCDA: a novel method for predicting circRNA-disease associations based on deep generative adversarial network. Int. J. Data Min. Bioinform. 23 (3) (2020)
Xin Yan, Zhu-Hong You, Lei Wang, Li-Ping Li, Kai Zheng, Mei-Neng Wang
DTIFS: A Novel Computational Approach for Predicting Drug-Target Interactions from Drug Structure and Protein Sequence. ICIC (2) (2020)
Kai Zheng, Zhu-Hong You, Jian-Qiang Li, Lei Wang, Zhen-Hao Guo, Yu-An Huang
iCDA-CGR: Identification of circRNA-disease associations based on Chaos Game Representation. PLoS Comput. Biol. 16 (5) (2020)
Yan-Bin Wang, Zhu-Hong You, Shan Yang, Hai-Cheng Yi, Zhan-Heng Chen, Kai Zheng
A deep learning-based method for drug-target interaction prediction based on long short-term memory neural network. BMC Medical Informatics Decis. Mak. (2) (2020)
Kai Zheng, Zhu-Hong You, Lei Wang, Yi-Ran Li, Yan-Bin Wang, Han-Jing Jiang
MISSIM: Improved miRNA-Disease Association Prediction Model Based on Chaos Game Representation and Broad Learning System. ICIC (3) (2019)
Lei Wang, Zhu-Hong You, Li-Ping Li, Kai Zheng, Yan-Bin Wang
Predicting circRNA-disease associations using deep generative adversarial network based on multi-source fusion information. BIBM (2019)
Han-Jing Jiang, Zhu-Hong You, Kai Zheng, Zhan-Heng Chen
Predicting of Drug-Disease Associations via Sparse Auto-Encoder-Based Rotation Forest. ICIC (3) (2019)
Zhao-Hui Zhan, Zhu-Hong You, Yong Zhou, Kai Zheng, Zheng-Wei Li
An Efficient LightGBM Model to Predict Protein Self-interacting Using Chebyshev Moments and Bi-gram. ICIC (2) (2019)
Lei Wang, Zhu-Hong You, Xing Chen, Yang-Ming Li, Ya-Nan Dong, Li-Ping Li, Kai Zheng
LMTRDA: Using logistic model tree to predict MiRNA-disease associations by fusing multi-source information of sequences and similarities. PLoS Comput. Biol. 15 (3) (2019)
Yan-Bin Wang, Zhu-Hong You, Hai-Cheng Yi, Zhan-Heng Chen, Zhen-Hao Guo, Kai Zheng
Combining Evolutionary Information and Sparse Bayesian Probability Model to Accurately Predict Self-interacting Proteins. ICIC (2) (2019)
Kai Zheng, Lei Wang, Zhu-Hong You
CGMDA: An Approach to Predict and Validate MicroRNA-Disease Associations by Utilizing Chaos Game Representation and LightGBM. IEEE Access 7 (2019)