Pi-Jing Wei
Orcid: 0000-0003-2770-8781
According to our database1,
Pi-Jing Wei
authored at least 17 papers
between 2016 and 2024.
Collaborative distances:
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Bibliography
2024
DMFVAE: miRNA-disease associations prediction based on deep matrix factorization method with variational autoencoder.
Frontiers Comput. Sci., December, 2024
MEFFGRN: Matrix enhancement and feature fusion-based method for reconstructing the gene regulatory network of epithelioma papulosum cyprini cells by spring viremia of carp virus infection.
Comput. Biol. Medicine, 2024
Inference of gene regulatory networks based on directed graph convolutional networks.
Briefings Bioinform., 2024
DeepFGRN: inference of gene regulatory network with regulation type based on directed graph embedding.
Briefings Bioinform., 2024
2023
CFANet: Context Feature Fusion and Attention Mechanism Based Network for Small Target Segmentation in Medical Images.
Sensors, October, 2023
CNNGRN: A Convolutional Neural Network-Based Method for Gene Regulatory Network Inference From Bulk Time-Series Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
A Hybrid Tourism Recommendation System Based on Multi-objective Evolutionary Algorithm and Re-ranking.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
2022
iPromoter-CLA: Identifying promoters and their strength by deep capsule networks with bidirectional long short-term memory.
Comput. Methods Programs Biomed., 2022
Prediction of microsatellite instability of colorectal cancer using multi-scale pathological images based on deep learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
BMC Bioinform., 2021
Identification of driver genes based on gene mutational effects and network centrality.
BMC Bioinform., 2021
2019
Proceedings of the Intelligent Computing Theories and Application, 2019
2017
Complex., 2017
2016
LNDriver: identifying driver genes by integrating mutation and expression data based on gene-gene interaction network.
BMC Bioinform., 2016
Proceedings of the Intelligent Computing Methodologies - 12th International Conference, 2016
Cancer genes discovery based on integtating transcriptomic data and the impact of gene length.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016