Chengqian Lu

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 14

Top Topics

Matrix Completion

Recurrent Neural Networks

Top Venues

Briefings Bioinform.

IEEE J. Biomed. Health Informatics

Publications

Chengqian Lu, Lishen Zhang, Min Zeng, Wei Lan, Guihua Duan, Jianxin Wang
Inferring disease-associated circRNAs by multi-source aggregation based on heterogeneous graph neural network. Briefings Bioinform. 24 (1) (2023)
Lishen Zhang, Chengqian Lu, Min Zeng, Yaohang Li, Jianxin Wang
CRMSS: predicting circRNA-RBP binding sites based on multi-scale characterizing sequence and structure features. Briefings Bioinform. 24 (1) (2023)
Min Zeng, Yifan Wu, Yiming Li, Rui Yin, Chengqian Lu, Junwen Duan, Min Li
LncLocFormer: a Transformer-based deep learning model for multi-label lncRNA subcellular localization prediction by using localization-specific attention mechanism. Bioinform. 39 (12) (2023)
Min Li, Baoying Zhao, Rui Yin, Chengqian Lu, Fei Guo, Min Zeng
GraphLncLoc: long non-coding RNA subcellular localization prediction using graph convolutional networks based on sequence to graph transformation. Briefings Bioinform. 24 (1) (2023)
Min Zeng, Yifan Wu, Chengqian Lu, Fuhao Zhang, Fang-Xiang Wu, Min Li
DeepLncLoc: a deep learning framework for long non-coding RNA subcellular localization prediction based on subsequence embedding. Briefings Bioinform. 23 (1) (2022)
Mengyun Yang, Lan Huang, Yunpei Xu, Chengqian Lu, Jianxin Wang
Heterogeneous graph inference with matrix completion for computational drug repositioning. Bioinform. 36 (22-23) (2021)
Min Zeng, Chengqian Lu, Zhihui Fei, Fang-Xiang Wu, Yaohang Li, Jianxin Wang, Min Li
DMFLDA: A Deep Learning Framework for Predicting lncRNA-Disease Associations. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (6) (2021)
Chengqian Lu, Min Zeng, Fuhao Zhang, Fang-Xiang Wu, Min Li, Jianxin Wang
Deep Matrix Factorization Improves Prediction of Human CircRNA-Disease Associations. IEEE J. Biomed. Health Informatics 25 (3) (2021)
Chengqian Lu, Min Zeng, Fang-Xiang Wu, Min Li, Jianxin Wang
Improving circRNA-disease association prediction by sequence and ontology representations with convolutional and recurrent neural networks. Bioinform. 36 (24) (2021)
Chengqian Lu, Mengyun Yang, Min Li, Yaohang Li, Fang-Xiang Wu, Jianxin Wang
Predicting Human lncRNA-Disease Associations Based on Geometric Matrix Completion. IEEE J. Biomed. Health Informatics 24 (8) (2020)
Min Zeng, Chengqian Lu, Fuhao Zhang, Zhangli Lu, Fang-Xiang Wu, Yaohang Li, Min Li
LncRNA-disease association prediction through combining linear and non-linear features with matrix factorization and deep learning techniques. BIBM (2019)
Chengqian Lu, Mengyun Yang, Feng Luo, Fang-Xiang Wu, Min Li, Yi Pan, Yaohang Li, Jianxin Wang
Prediction of lncRNA-disease associations based on inductive matrix completion. Bioinform. 34 (19) (2018)
Jin Liu, Yi Pan, Min Li, Ziyue Chen, Lu Tang, Chengqian Lu, Jianxin Wang
Applications of deep learning to MRI images: A survey. Big Data Min. Anal. 1 (1) (2018)
Wei Lan, Jianxin Wang, Min Li, Chengqian Lu, Fang-Xiang Wu, Yi Pan
Predicting microRNA-environmental factor interactions based on bi-random walk and multi-label learning. BIBM (2016)