Yi-Hui Zhou

Associate Professor

North Carolina State University

United States

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Yi-Hui Zhou is an Associate Professor at North Carolina State University, USA. His research areas encompass a wide range of topics including the impact of organophosphate flame retardants on autism-relevant gene networks, cystic fibrosis, microbiome dynamics, and the application of artificial intelligence in healthcare. He has contributed significantly to the field through his recent publications, focusing on advanced transcriptomics, statistical modeling, and the integration of chemical and biological data.

Articles (15)

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2025

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2025

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2025

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2024

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2021

Collaborators (1)

Erin Baker

Associate Professor

University of North Carolina at Chapel Hill

UNITED STATES

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Yi-Hui Zhou

Research Interests

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Articles (15)

Organophosphate Flame Retardants Disrupt Autism-Relevant Gene Networks Across Development: A Cross-Species Multi-Omics Study

HAP-SAMPLE2: data-based resampling for association studies with admixture

Identifying novel therapeutic targets in cystic fibrosis through advanced single-cell transcriptomics analysis

Predicting Microbiome Growth Dynamics under Environmental Perturbations

Integrative Chemical–Biological Grouping of Complex High Production Volume Substances from Lower Olefin Manufacturing Streams

Simultaneous modeling of multivariate heterogeneous responses and heteroskedasticity via a two‐stage composite likelihood

Genetic Modifiers of Cystic Fibrosis Lung Disease Severity: Whole-Genome Analysis of 7,840 Patients

Leveraging Scheme for Cross-Study Microbiome Machine Learning Prediction and Feature Evaluations

AI in healthcare: navigating opportunities and challenges in digital communication

Fast Multivariate Probit Estimation via a Two-Stage Composite Likelihood

A Double Penalty Model for Ensemble Learning

A resource for integrated genomic analysis of the human liver

A Population-Based Human In Vitro Approach to Quantify Inter-Individual Variability in Responses to Chemical Mixtures

A Machine Learning Pipeline for Mortality Prediction in the ICU

Potential Human Health Hazard of Post-Hurricane Harvey Sediments in Galveston Bay and Houston Ship Channel: A Case Study of Using In Vitro Bioactivity Data to Inform Risk Management Decisions

Collaborators (1)

Erin Baker

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