Shin-Han Shiu
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About
Shin-Han Shiu is a Professor at Michigan State University, USA. His research focuses on optimizing genomic prediction for complex traits in plants, as well as employing machine learning to reveal genetic factors influencing oxidative stress resistance. His recent work includes the integration of multi-omics data for predicting plant traits and the development of a knowledge graph corpus for molecular plant sciences.
Recent Grants
Grant: Close
RESEARCH-PGR: Combining machine learning and experimental analysis to define trichome and root-specific gene regulatory networks in cultivated tomato and related Solanaceae species
Open Date: 2023-01-01
Close Date: 2025-12-31
Grant: Close
Collaborative Research: Assessing the connections between genetic interactions, environments, and phenotypes in Arabidopsis thaliana
Open Date: 2022-07-01
Close Date: 2025-06-30
Grant: Close
TRTech-PGR: Connecting sequences to functions within and between species through computational modeling and experimental studies
Open Date: 2021-12-01
Close Date: 2024-11-30
Grant: Close
NRT-HDR: Intersecting computational and data science to address grand challenges in plant biology
Open Date: 2018-09-01
Close Date: 2023-08-31
Grant: Close
Collaborative Research: Fitness effects of loss-of-function mutations in duplicate genes
Open Date: 2017-04-01
Close Date: 2021-03-31
Articles (15)
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2025
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2025
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2024
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2023
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2022
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2021
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2021
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2021
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2021
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2020
Collaborators (7)
Erich Grotewold
Chair & Professor
Michigan State University
Antonis Rokas
Professor
Vanderbilt University
Brad Day
-
Cornelius Barry
Associate Professor
Michigan State University
Jeffrey Conner
Michigan State University
Melissa Lehti-Shiu
Research Assistant Professor
Michigan State University
Wen-Yu Liu
North Carolina State University
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