Yuehua Cui

Orcid: 0000-0001-8099-1753

According to our database1, Yuehua Cui authored at least 30 papers between 2005 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Nonlinear kernel-based high-dimensional inference for set-based genetic association studies.
Briefings Bioinform., 2026

CEDR: robust consensus cancer subtyping with multi-omics data via ensemble dimensionality reduction.
Briefings Bioinform., 2026

Temperature Behaviors of Boot and Rail During Motion of Urban Rail Vehicle.
IEEE Access, 2026

2025
Multi-omics data integration for enhanced cancer subtyping via interactive multi-kernel learning.
Briefings Bioinform., 2025

Electrical Behaviors and Material Erosions of Current Collector Shoe and Contact Rail During Offline Discharge.
IEEE Access, 2025

Temperature Behaviors of Receptor of Urban Rail Vehicle in Electrical Contact With Contact Rail.
IEEE Access, 2025

Arc Erosion Behaviors of Pantograph of High-Speed Train During Its Rise and Fall Processes.
IEEE Access, 2025

2024
A metagene based similarity network fusion approach for multi-omics data integration identified novel subtypes in renal cell carcinoma.
Briefings Bioinform., November, 2024

A high-dimensional omnibus test for set-based association analysis.
Briefings Bioinform., September, 2024

BayesKAT: bayesian optimal kernel-based test for genetic association studies reveals joint genetic effects in complex diseases.
Briefings Bioinform., May, 2024

Uncertainty quantification in high-dimensional linear models incorporating graphical structures with applications to gene set analysis.
Bioinform., 2024

Electrical Behaviors During Rise and Fall of Pantograph of Electric Locomotive in Traction Power Supply System.
IEEE Access, 2024

Electrical Characterization of Pantograph and Catenary Offline Under Train Operating Conditions Based on Improved Habedank Model and AT Power Supply Network.
IEEE Access, 2024

2023
Cancer subtyping with heterogeneous multi-omics data via hierarchical multi-kernel learning.
Briefings Bioinform., January, 2023

2022
Gene set analysis with graph-embedded kernel association test.
Bioinform., 2022

2021
Using machine learning methods to predict hepatic encephalopathy in cirrhotic patients with unbalanced data.
Comput. Methods Programs Biomed., 2021

Identifying complex gene-gene interactions: a mixed kernel omnibus testing approach.
Briefings Bioinform., 2021

Gene-based mediation analysis in epigenetic studies.
Briefings Bioinform., 2021

2020
Comparison of methods for the detection of outliers and associated biomarkers in mislabeled omics data.
BMC Bioinform., 2020

Multilevel heterogeneous omics data integration with kernel fusion.
Briefings Bioinform., 2020

A Novel Quality Enhanced Low Complexity Rate Control Algorithm for HEVC.
Proceedings of the 2020 IEEE International Conference on Visual Communications and Image Processing, 2020

2018
Segmentation-Guided Tracking with Prior Map Decision.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Learning Collaborative Model for Visual Tracking.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
Predicting disease trait with genomic data: a composite kernel approach.
Briefings Bioinform., 2017

2015
Learning directed acyclic graphical structures with genetical genomics data.
Bioinform., 2015

2014
A new set-valued system identification approach to identifying rare genetic variants for ordered categorical phenotype.
BMC Bioinform., 2014

Boosting signals in gene-based association studies via efficient SNP selection.
Briefings Bioinform., 2014

2012
Bayesian inference for genomic imprinting underlying developmental characteristics.
Briefings Bioinform., 2012

2011
Varying coefficient model for gene-environment interaction: a non-linear look.
Bioinform., 2011

2005
Mapping genome-genome epistasis: a high-dimensional model.
Bioinform., 2005


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