Cui-Na Jiao
Orcid: 0000-0001-7479-8105
According to our database1,
Cui-Na Jiao
authored at least 20 papers
between 2019 and 2024.
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Bibliography
2024
FSCME: A Feature Selection Method Combining Copula Correlation and Maximal Information Coefficient by Entropy Weights.
IEEE J. Biomed. Health Informatics, September, 2024
Deep Self-Reconstruction Fusion Similarity Hashing for the Diagnosis of Alzheimer's Disease on Multi-Modal Data.
IEEE J. Biomed. Health Informatics, June, 2024
Diagnosis-Guided Deep Subspace Clustering Association Study for Pathogenetic Markers Identification of Alzheimer's Disease Based on Comparative Atlases.
IEEE J. Biomed. Health Informatics, May, 2024
Multi-Kernel Graph Attention Deep Autoencoder for MiRNA-Disease Association Prediction.
IEEE J. Biomed. Health Informatics, February, 2024
Multi-modal imaging genetics data fusion by deep auto-encoder and self-representation network for Alzheimer's disease diagnosis and biomarkers extraction.
Eng. Appl. Artif. Intell., 2024
Deep Hyper-Laplacian Regularized Self-representation Learning Based Structured Association Analysis for Brain Imaging Genetics.
Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024
2023
Predicting miRNA-Disease Associations Through Deep Autoencoder With Multiple Kernel Learning.
IEEE Trans. Neural Networks Learn. Syst., September, 2023
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
LANCMDA: Predicting MiRNA-Disease Associations via LightGBM with Attributed Network Construction.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
2022
Visualization and Analysis of Single Cell RNA-Seq Data by Maximizing Correntropy Based Non-Negative Low Rank Representation.
IEEE J. Biomed. Health Informatics, 2022
Kernel risk-sensitive mean p-power loss based hyper-graph regularized robust extreme learning machine and its semi-supervised extension for sample classification.
Appl. Intell., 2022
THSLRR: A Low-Rank Subspace Clustering Method Based on Tired Random Walk Similarity and Hypergraph Regularization Constraints.
Proceedings of the Recent Advances in Transdisciplinary Data Science, 2022
Diagnosing Alzheimer's Disease with Bi-multitask Regularized Sparse Canonical Correlation Analysis and Logistic Regression.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Probability Connectivity-Based Multimodality Regression Analysis for Associating Disease-Specific Multimodal Brain Imaging Phenotypes with Genetic Risk Factors.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Bipartite graph-based collaborative matrix factorization method for predicting miRNA-disease associations.
BMC Bioinform., 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Hyper-Graph Regularized Constrained NMF for Selecting Differentially Expressed Genes and Tumor Classification.
IEEE J. Biomed. Health Informatics, 2020
MCCMF: collaborative matrix factorization based on matrix completion for predicting miRNA-disease associations.
BMC Bioinform., 2020
Locally Manifold Non-negative Matrix Factorization Based on Centroid for scRNA-seq Data Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
Hyper-graph Robust Non-negative Matrix Factorization Method for Cancer Sample Clustering and Feature Selection.
Proceedings of the Recent Advances in Data Science, 2019