Hanjing Jiang
Orcid: 0000-0003-4208-2027
According to our database1,
Hanjing Jiang
authored at least 13 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Graph-Regularized Non-Negative Matrix Factorization for Single-Cell Clustering in scRNA-Seq Data.
IEEE J. Biomed. Health Informatics, August, 2024
2023
ScLSTM: single-cell type detection by siamese recurrent network and hierarchical clustering.
BMC Bioinform., December, 2023
IEEE Access, 2023
Selection of Cancer Biomarkers from Microarray Gene Expression Data Utilizing the Bi-Objective Optimization Method.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
An effective drug-disease associations prediction model based on graphic representation learning over multi-biomolecular network.
BMC Bioinform., 2022
Spectral clustering of single cells using Siamese nerual network combined with improved affinity matrix.
Briefings Bioinform., 2022
2021
Accurate Identification of Agricultural Inputs Based on Sensor Monitoring Platform and SSDA-HELM-SOFTMAX Model.
J. Sensors, 2021
Prognostic Prediction for Non-small-Cell Lung Cancer Based on Deep Neural Network and Multimodal Data.
Proceedings of the Intelligent Computing Theories and Application, 2021
2020
A Highly Efficient Biomolecular Network Representation Model for Predicting Drug-Disease Associations.
Proceedings of the Intelligent Computing Methodologies - 16th International Conference, 2020
Prediction of Drug-Disease Associations Based on Long Short-Term Memory Network and Gaussian Interaction Profile Kernel.
Proceedings of the Bio-Inspired Computing: Theories and Applications, 2020
2019
MISSIM: Improved miRNA-Disease Association Prediction Model Based on Chaos Game Representation and Broad Learning System.
Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019
Predicting of Drug-Disease Associations via Sparse Auto-Encoder-Based Rotation Forest.
Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019
Combining LSTM Network Model and Wavelet Transform for Predicting Self-interacting Proteins.
Proceedings of the Intelligent Computing Theories and Application, 2019