Boya Ji
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Bibliography
2024
MUSCLE: multi-view and multi-scale attentional feature fusion for microRNA-disease associations prediction.
Briefings Bioinform., 2024
2023
Biomedical Knowledge Graph Embedding With Capsule Network for Multi-Label Drug-Drug Interaction Prediction.
IEEE Trans. Knowl. Data Eng., June, 2023
SPRDA: a link prediction approach based on the structural perturbation to infer disease-associated Piwi-interacting RNAs.
Briefings Bioinform., January, 2023
ImmRegInformer: an interpretable Transformer-based method for prioritizing immune-regulatory cancer drivers.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
MFDNN: multi-channel feature deep neural network algorithm to identify COVID19 chest X-ray images.
Health Inf. Sci. Syst., 2022
Noise-reducing attention cross fusion learning transformer for histological image classification of osteosarcoma.
Biomed. Signal Process. Control., 2022
MSVF: Multi-task Structure Variation Filter with Transfer Learning in High-throughput Sequencing.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
SANE: A sequence combined attentive network embedding model for COVID-19 drug repositioning.
Appl. Soft Comput., 2021
Proceedings of the Intelligent Computing Theories and Application, 2021
Predicting miRNA-Disease Associations via a New MeSH Headings Representation of Diseases and eXtreme Gradient Boosting.
Proceedings of the Intelligent Computing Theories and Application, 2021
FEDI: Few-shot learning based on Earth Mover's Distance algorithm combined with deep residual network to identify diabetic retinopathy.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
DFL-PiDA: Prediction of Piwi-interacting RNA-Disease Associations based on Deep Feature Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
NEMPD: a network embedding-based method for predicting miRNA-disease associations by preserving behavior and attribute information.
BMC Bioinform., 2020
Predicting Human Disease-Associated piRNAs Based on Multi-source Information and Random Forest.
Proceedings of the Intelligent Computing Theories and Application, 2020
A Highly Efficient Biomolecular Network Representation Model for Predicting Drug-Disease Associations.
Proceedings of the Intelligent Computing Methodologies - 16th International Conference, 2020
A MapReduce-Based Parallel Random Forest Approach for Predicting Large-Scale Protein-Protein Interactions.
Proceedings of the Intelligent Computing Methodologies - 16th International Conference, 2020
2018
An evaluation of the design and construction of energy management platform for public buildings based on WSR system approach.
Kybernetes, 2018