Chengqian Lu

Xiangtan University — China

Biochemistry, Genetics and Molecular Biology · Life Sciences

12h-index1.3kcitations26works2.52yr avg
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Research Topics

Cancer-related molecular mechanisms research(18), RNA and protein synthesis mechanisms(8), Circular RNAs in diseases(6), RNA Research and Splicing(5), RNA modifications and cancer(5)

Publications26 total

diPaRIS: Dynamic and Interpretable Protein‐RNA Interactions Prediction With U‐Shaped Network and Novel Structure Encoding
Advanced Science·2025Open Access
2OMe-LM: predicting 2′-O-methylation sites in human RNA using a pre-trained RNA language model
Bioinformatics·2025· 2 citedOpen Access
RNALoc-LM: RNA subcellular localization prediction using pre-trained RNA language model
Bioinformatics·2025· 6 citedOpen Access
CellCircLoc: Deep Neural Network for Predicting and Explaining Cell Line-Specific CircRNA Subcellular Localization
IEEE Journal of Biomedical and Health Informatics·2024· 2 cited
LncLocFormer: a Transformer-based deep learning model for multi-label lncRNA subcellular localization prediction by using localization-specific attention mechanism
Bioinformatics·2023· 36 citedOpen Access
Inferring disease-associated circRNAs by multi-source aggregation based on heterogeneous graph neural network
Briefings in Bioinformatics·2022· 8 cited
GraphLncLoc: long non-coding RNA subcellular localization prediction using graph convolutional networks based on sequence to graph transformation
Briefings in Bioinformatics·2022· 56 citedOpen Access
CRMSS: predicting circRNA-RBP binding sites based on multi-scale characterizing sequence and structure features
Briefings in Bioinformatics·2022· 16 cited
Identifying disease-associated circRNAs based on edge-weighted graph attention and heterogeneous graph neural network
2022· 9 citedOpen Access
DeepLncLoc: a deep learning framework for long non-coding RNA subcellular localization prediction based on subsequence embedding
Briefings in Bioinformatics·2021· 87 cited
DeepLncLoc: a deep learning framework for long non-coding RNA subcellular localization prediction based on subsequence embedding
2021· 6 citedOpen Access
Improving circRNA–disease association prediction by sequence and ontology representations with convolutional and recurrent neural networks
Bioinformatics·2020· 44 citedOpen Access
Heterogeneous graph inference with matrix completion for computational drug repositioning
Bioinformatics·2020· 39 citedOpen Access
Deep Matrix Factorization Improves Prediction of Human CircRNA-Disease Associations
IEEE Journal of Biomedical and Health Informatics·2020· 94 cited
SDLDA: lncRNA-disease association prediction based on singular value decomposition and deep learning
Methods·2020· 101 cited
Predicting Human lncRNA-Disease Associations Based on Geometric Matrix Completion
IEEE Journal of Biomedical and Health Informatics·2020· 76 cited
DMFLDA: A Deep Learning Framework for Predicting lncRNA–Disease Associations
IEEE/ACM Transactions on Computational Biology and Bioinformatics·2020· 65 cited
LncRNA–disease association prediction through combining linear and non-linear features with matrix factorization and deep learning techniques
2019· 9 cited
Prediction of lncRNA–disease associations based on inductive matrix completion
Computer applications in the biosciences·2018· 302 cited
Applications of deep learning to MRI images: A survey
Big Data Mining and Analytics·2018· 291 citedOpen Access
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Frequent Co-authors

Min Li(16), Jianxin Wang(12), Min Zeng(12), Fang‐Xiang Wu(10), Yaohang Li(6), Yi Pan(5), Fuhao Zhang(5), Lishen Zhang(4), Mengyun Yang(3), Yifan Wu(3), Rui Yin(3), Fei Guo(3), Min Zeng(3), Yiming Li(2), Wei Lan(2), Yiming Li(2), Shichao Kan(2), Fei Guo(2), Wang Jian-xin(2), Deng Chuanchao(2)