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Chengqian Lu
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- affiliation: Central South University, Changsha, Hunan, China
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Journal Articles
- 2023
- [j12]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) - [j11]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) - [j10]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) - [j9]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) - 2022
- [j8]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) - 2021
- [j7]Mengyun Yang
, Lan Huang, Yunpei Xu, Chengqian Lu
, Jianxin Wang
:
Heterogeneous graph inference with matrix completion for computational drug repositioning. Bioinform. 36(22-23): 5456-5464 (2021) - [j6]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): 5656-5664 (2021) - [j5]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): 2353-2363 (2021) - [j4]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): 891-899 (2021) - 2020
- [j3]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): 2420-2429 (2020) - 2018
- [j2]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): 1-18 (2018) - [j1]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): 3357-3364 (2018)
Conference and Workshop Papers
- 2019
- [c2]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: 577-582 - 2016
- [c1]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: 27-32
Data and Artifacts
- 2020
- [d1]Mengyun Yang
, Lan Huang, Yunpei Xu, Chengqian Lu
, Jianxin Wang
:
HGIMC: heterogeneous graph inference with matrix completion for computational drug repositioning. Zenodo, 2020
Coauthor Index
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