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Chengqian lu
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Applications of deep learning to MRI images: A survey
J Liu, Y Pan, M Li, Z Chen, L Tang, C Lu, J Wang
Big Data Mining and Analytics 1 (1), 1-18, 2018
2042018
Prediction of lncRNA–disease associations based on inductive matrix completion
C Lu, M Yang, F Luo, FX Wu, M Li, Y Pan, Y Li, J Wang
Bioinformatics 34 (19), 3357-3364, 2018
1702018
SDLDA: lncRNA-disease association prediction based on singular value decomposition and deep learning
M Zeng, C Lu, F Zhang, Y Li, FX Wu, Y Li, M Li
Methods 179, 73-80, 2020
352020
Deep matrix factorization improves prediction of human circRNA-disease associations
C Lu, Min, Zeng, Fuhao Zhang, Fang Xiang Wu, Min Li & Jianxin Wang
IEEE Journal of Biomedical and Health Informatics, 2020
222020
DMFLDA: a deep learning framework for predicting IncRNA–disease associations
M Zeng, C Lu, Z Fei, F Wu, Y Li, J Wang, M Li
IEEE/ACM transactions on computational biology and bioinformatics, 2020
192020
Predicting human lncRNA-disease associations based on geometric matrix completion
C Lu, M Yang, M Li, Y Li, FX Wu, J Wang
IEEE journal of biomedical and health informatics 24 (8), 2420-2429, 2019
162019
Improving circRNA–disease association prediction by sequence and ontology representations with convolutional and recurrent neural networks
C Lu, M Zeng, FX Wu, M Li, J Wang
Bioinformatics 36 (24), 5656-5664, 2021
122021
Heterogeneous graph inference with matrix completion for computational drug repositioning
M Yang, L Huang, Y Xu, C Lu, J Wang
Bioinformatics 36 (22-23), 5456-5464, 2020
112020
DeepLncLoc: a deep learning framework for long non-coding RNA subcellular localization prediction based on subsequence embedding
M Zeng, Y Wu, C Lu, F Zhang, FX Wu, M Li
Briefings in Bioinformatics 23 (1), bbab360, 2022
72022
LncRNA–disease association prediction through combining linear and non-linear features with matrix factorization and deep learning techniques
M Zeng, C Lu, F Zhang, Z Lu, FX Wu, Y Li, M Li
2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019
62019
Predicting microRNA-environmental factor interactions based on bi-random walk and multi-label learning
W Lan, J Wang, M Li, C Lu, FX Wu, Y Pan
2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016
42016
Identifying disease-associated circRNAs based on edge-weighted graph attention and heterogeneous graph neural network
C Lu, L Zhang, M Zeng, W Lan, J Wang
bioRxiv, 2022
2022
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