Yang Li, PhD, MS
Associate Research Scientist in Cell BiologyDownloadHi-Res Photo
Cards
Appointments
Cell Biology
Primary
Contact Info
About
Titles
Associate Research Scientist in Cell Biology
Appointments
Cell Biology
Associate Research ScientistPrimary
Other Departments & Organizations
Education & Training
- PhD
- Clemson University, Bioengineering (2020)
- Graduate Research Assistant
- Clemson University (2020)
- MS
- Tianjin University, Optical Engineering (2015)
Research
Overview
Medical Subject Headings (MeSH)
Flavin-Adenine Dinucleotide; Flavins; Myocytes, Cardiac; NAD; NADP; Osteochondritis; Spheroids, Cellular
ORCID
0000-0002-2413-7875- View Lab Website
Bewersdorf Lab
Publications
2024
Integrative deep learning with prior assisted feature selection
Wang F, Jia K, Li Y. Integrative deep learning with prior assisted feature selection. Statistics In Medicine 2024 PMID: 38923006, DOI: 10.1002/sim.10148.Peer-Reviewed Original ResearchConceptsDeep learningLearning methodsPerformance of feature selectionCapability of deep learningDeep learning methodsEnsemble learning methodFeature selectionPrior informationLearningIntegrated analysisSkin cutaneous melanomaDatasetRedundancyMethodSimulation studySuperioritySelectionCapabilityInformationFrameworkSequential covariate-adjusted randomization via hierarchically minimizing Mahalanobis distance and marginal imbalance
Yang H, Qin Y, Li Y, Hu F. Sequential covariate-adjusted randomization via hierarchically minimizing Mahalanobis distance and marginal imbalance. Biometrics 2024, 80: ujae047. PMID: 38801258, DOI: 10.1093/biomtc/ujae047.Peer-Reviewed Original ResearchAltmetricMeSH Keywords and ConceptsConceptsCovariate balanceMarginal imbalanceAdaptive randomization methodsTreatment effect estimatesSequential allocation schemeModified Mahalanobis distanceRandomization methodSimulation studyCovariate imbalanceRandom processTheoretical guaranteesCovariatesImbalance measureEffect estimatesMahalanobis distanceCurrent patientSample size differencesMarginal balanceAllocation schemeConvergenceData analysisSuperior performance
2023
Modifiable risk factors for esophageal cancer in endoscopic screening population: A modeling study
Zhang Q, Wang F, Feng H, Xing J, Zhu S, Zhang H, Li Y, Wei W, Zhang S. Modifiable risk factors for esophageal cancer in endoscopic screening population: A modeling study. Chinese Medical Journal 2023, 137: 350-352. PMID: 38030561, PMCID: PMC10836889, DOI: 10.1097/cm9.0000000000002878.Peer-Reviewed Original Research