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Yu-Tian Wang
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Journal Articles
- 2023
- [j11]Zhi-Hao Liu
, Cunmei Ji
, Jian-Cheng Ni
, Yu-Tian Wang
, Li-Juan Qiao, Chun-Hou Zheng
:
Convolution Neural Networks Using Deep Matrix Factorization for Predicting Circrna-Disease Association. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 277-284 (2023) - [j10]Li-Juan Qiao
, Zhen Gao
, Cunmei Ji
, Zhi-Hao Liu
, Chun-Hou Zheng
, Yu-Tian Wang
:
Potential circRNA-Disease Association Prediction Using DeepWalk and Nonnegative Matrix Factorization. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 3154-3162 (2023) - [j9]Cunmei Ji
, Ning Yu
, Yu-Tian Wang
, Rong Qi, Chun-Hou Zheng
:
An End-to-End Deep Hybrid Autoencoder Based Method for Single-Cell RNA-Seq Data Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3889-3900 (2023) - [j8]Sheng-Wen Tian
, Jiancheng Ni
, Yu-Tian Wang
, Chun-Hou Zheng
, Cunmei Ji
:
scGCC: Graph Contrastive Clustering With Neighborhood Augmentations for scRNA-Seq Data Analysis. IEEE J. Biomed. Health Informatics 27(12): 6133-6143 (2023) - 2022
- [j7]Xia Cao, Zhong-Yi Yang, Wei-Chiang Hong
, Rui-Zhe Xu, Yu-Tian Wang:
Optimizing Berth-quay Crane Allocation considering Economic Factors Using Chaotic Quantum SSA. Appl. Artif. Intell. 36(1) (2022) - [j6]Zhen Gao
, Yu-Tian Wang, Qing-Wen Wu
, Lei Li
, Jian-Cheng Ni
, Chun-Hou Zheng
:
A New Method Based on Matrix Completion and Non-Negative Matrix Factorization for Predicting Disease-Associated miRNAs. IEEE ACM Trans. Comput. Biol. Bioinform. 19(2): 763-772 (2022) - [j5]Lei Li
, Zhen Gao
, Chun-Hou Zheng
, Rong Qi, Yu-Tian Wang
, Jian-Cheng Ni
:
Predicting miRNA-Disease Association Based on Improved Graph Regression. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3604-3613 (2022) - 2021
- [j4]Yu-Tian Wang
, Qing-Wen Wu, Zhen Gao, Jian-Cheng Ni, Chun-Hou Zheng:
MiRNA-disease association prediction via hypergraph learning based on high-dimensionality features. BMC Medical Informatics Decis. Mak. 21(1): 133 (2021) - [j3]Lei Li
, Zhen Gao
, Yu-Tian Wang
, Ming-Wen Zhang, Jian-Cheng Ni, Chun-Hou Zheng, Yansen Su:
SCMFMDA: Predicting microRNA-disease associations based on similarity constrained matrix factorization. PLoS Comput. Biol. 17(7) (2021) - [j2]Lei Li
, Yu-Tian Wang
, Cunmei Ji
, Chun-Hou Zheng, Jian-Cheng Ni
, Yan-Sen Su
:
GCAEMDA: Predicting miRNA-disease associations via graph convolutional autoencoder. PLoS Comput. Biol. 17(12) (2021) - 2020
- [j1]Zhen Gao, Yu-Tian Wang, Qing-Wen Wu, Jian-Cheng Ni, Chun-Hou Zheng:
Graph regularized L2, 1-nonnegative matrix factorization for miRNA-disease association prediction. BMC Bioinform. 21(1): 61 (2020)
Conference and Workshop Papers
- 2022
- [c6]Dian-Xiao Wang, Cunmei Ji
, Yu-Tian Wang, Lei Li, Jian-Cheng Ni, Bin Li:
GCNMFCDA: A Method Based on Graph Convolutional Network and Matrix Factorization for Predicting circRNA-Disease Associations. ICIC (2) 2022: 166-180 - [c5]Rong Qi, Chun-Hou Zheng, Cunmei Ji
, Ning Yu, Jian-Cheng Ni, Yu-Tian Wang:
Cell Classification Based on Stacked Autoencoder for Single-Cell RNA Sequencing. ICIC (2) 2022: 245-259 - [c4]Cunmei Ji
, Zhi-Hao Liu, Li-Juan Qiao, Yu-Tian Wang, Chun-Hou Zheng:
A Unified Graph Attention Network Based Framework for Inferring circRNA-Disease Associations. ICIC (3) 2022: 639-653 - 2021
- [c3]Ming-Wen Zhang, Yu-Tian Wang, Zhen Gao, Lei Li, Jian-Cheng Ni, Chun-Hou Zheng:
RWRNCP: Random Walking with Restart Based Network Consistency Projection for Predicting miRNA-Disease Association. ICIC (3) 2021: 522-535 - [c2]Zhen-Wei Zhang, Zhen Gao, Chun-Hou Zheng, Yu-Tian Wang, Sumin Qi:
MELPMDA: A New Method Based on Matrix Enhancement and Label Propagation for Predicting miRNA-Disease Association. ICIC (3) 2021: 536-548 - 2019
- [c1]Qing-Wen Wu, Yu-Tian Wang, Zhen Gao, Ming-Wen Zhang, Jian-Cheng Ni, Chun-Hou Zheng:
HGMDA: HyperGraph for Predicting MiRNA-Disease Association. ICIC (2) 2019: 265-271
Coauthor Index
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