Xingyi Li

Orcid: 0000-0002-6004-4174

Affiliations:

Northwestern Polytechnical University, School of Computer Science, Xi'an, China

According to our database¹, Xingyi Li authored at least 18 papers between 2019 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2025

Deep graph convolutional network-based multi-omics integration for cancer driver gene identification.

[BibT_eX]

[DOI]

Briefings Bioinform., July, 2025

PathActMarker: an R package for inferring pathway activity of complex diseases.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., March, 2025

Towards simplified graph neural networks for identifying cancer driver genes in heterophilic networks.

[BibT_eX]

[DOI]

Briefings Bioinform., January, 2025

DualMarker: A Multi-Source Fusion Identification Method for Prognostic Biomarkers of Breast Cancer Based on Dual-Layer Heterogeneous Network.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Biol. Bioinform., 2025

Multi-Task Learning Framework for Cancer Driver Gene Identification on Multi-Network and Multi-OMICS Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

Scbean: a python library for single-cell multi-omics data analysis.

[BibT_eX]

[DOI]

Bioinform., February, 2024

Multiplex Networks and Pan-Cancer Multiomics-Based Driver Gene Identification Using Graph Neural Networks.

[BibT_eX]

[DOI]

Big Data Min. Anal., 2024

2023

A personalized pathway activation inference method based on pathway structure for classification of inflammatory bowel disease.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

SEPA: signaling entropy-based algorithm to evaluate personalized pathway activation for survival analysis on pan-cancer data.

[BibT_eX]

[DOI]

Bioinform., 2022

A multi-source fusion method to identify biomarkers for breast cancer prognosis based on dual-layer heterogeneous network.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

NIDM: network impulsive dynamics on multiplex biological network for disease-gene prediction.

[BibT_eX]

[DOI]

Briefings Bioinform., 2021

2020

Network-based methods for predicting essential genes or proteins: a survey.

[BibT_eX]

[DOI]

Briefings Bioinform., 2020

A topological AUC-based biomarker ensemble method for the complex disease analysis.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2019

DualRank: multiplex network-based dual ranking for heterogeneous complex disease analysis.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Xingyi Li

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