Xingyi Li
Orcid: 0000-0002-6004-4174
According to our database1,
Xingyi Li
authored at least 16 papers
between 2019 and 2025.
Collaborative distances:
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Bibliography
2025
Frontiers Comput. Sci., March, 2025
Deep graph convolutional network-based multi-omics integration for cancer driver gene identification.
Briefings Bioinform., 2025
2024
Bioinform., February, 2024
Multiplex Networks and Pan-Cancer Multiomics-Based Driver Gene Identification Using Graph Neural Networks.
Big Data Min. Anal., 2024
Towards simplified graph neural networks for identifying cancer driver genes in heterophilic networks.
Briefings Bioinform., 2024
2023
A personalized pathway activation inference method based on pathway structure for classification of inflammatory bowel disease.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
A Dual Ranking Algorithm Based on the Multiplex Network for Heterogeneous Complex Disease Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
SEPA: signaling entropy-based algorithm to evaluate personalized pathway activation for survival analysis on pan-cancer data.
Bioinform., 2022
A multi-source fusion method to identify biomarkers for breast cancer prognosis based on dual-layer heterogeneous network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
FUNMarker: Fusion Network-Based Method to Identify Prognostic and Heterogeneous Breast Cancer Biomarkers.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
NIDM: network impulsive dynamics on multiplex biological network for disease-gene prediction.
Briefings Bioinform., 2021
2020
Briefings Bioinform., 2020
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
Identification of Prognostic and Heterogeneous Breast Cancer Biomarkers Based on Fusion Network and Multiple Scoring Strategies.
Proceedings of the Intelligent Computing Theories and Application, 2019
DualRank: multiplex network-based dual ranking for heterogeneous complex disease analysis.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Classification of Schizophrenia by Iterative Random Forest Feature Selection Based on DNA Methylation Array Data.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019