Cheng-Ting Yeh - Department of Agronomy;Iowa State University;Center for Carbon Capturing Crops;Department of Statistics;Center for Plant Genomics;Interdepartment Plant Biology;University of Florida;Iowa State University, University of Florida

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Cheng-Ting Yeh is a Computational Analyst/Software Developer for the Plant Sciences Institute at Iowa State University. He has degrees in Computer Science from Iowa State University (BS) and Oklahoma State University (MS)

Research Interests

Papers共 41 篇Author StatisticsCo-AuthorSimilar Experts

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Data-driven Identification of Environmental Variables Influencing Phenotypic Plasticity to Facilitate Breeding for Future Climates

Aaron Kusmec,Cheng-Ting 'Eddy' Yeh,Patrick S. Schnable

New Phytologist（2024）

Cited0Views0WOSBibtex

A Genetic Tradeoff for Tolerance to Moderate and Severe Heat Stress in US Hybrid Maize

Aaron Kusmec,Lakshmi Attigala,Xiongtao Dai,Srikant Srinivasan,Cheng-Ting Eddy Yeh,Patrick S. Schnable

PLoS Geneticsno. 7 (2023): e1010799-e1010799

Cited4Views0WOSBibtex

KAT4IA: K-Means Assisted Training for Image Analysis of Field-Grown Plant Phenotypes

Xingche Guo,Yumou Qiu,Dan Nettleton,Cheng-Ting Yeh,Zihao Zheng,Stefan Hey,Patrick S. Schnable

Plant Phenomics（2021）

Cited9Views0WOSBibtex

Trajectories of Homoeolog-Specific Expression in Allotetraploid Tragopogon Castellanus Populations of Independent Origins

J. Lucas Boatwright,Cheng-Ting Yeh,Heng-Cheng Hu,Alfonso Susanna,Douglas E. Soltis,Pamela S. Soltis,Patrick S. Schnable,William B. Barbazuk

Frontiers in Plant Science（2021）

Cited4Views0WOSBibtex

Automatic Traits Extraction and Fitting for Field High-throughput Phenotyping Systems

Xingche Guo,Yumou Qiu,Dan Nettleton,Cheng-Ting Yeh,Zihao Zheng,Stefan Hey,Patrick S. Schnable

bioRxiv (2020)

Cited2Views0Bibtex

Maize Genomes to Fields (G2F): 2014–2017 Field Seasons: Genotype, Phenotype, Climatic, Soil, and Inbred Ear Image Datasets

Bridget A. McFarland,Naser AlKhalifah,Martin Bohn,Jessica Bubert,Edward S. Buckler,Ignacio Ciampitti,Jode Edwards,David Ertl,Joseph L. Gage,Celeste M. Falcon,Sherry Flint-Garcia,Michael A. Gore,Christopher Graham,Candice N. Hirsch,James B. Holland,Elizabeth Hood,David Hooker,Diego Jarquin,Shawn M. Kaeppler,Joseph Knoll,Greg Kruger,Nick Lauter,Elizabeth C. Lee,Dayane C. Lima,Aaron Lorenz,Jonathan P. Lynch, John McKay,Nathan D. Miller,Stephen P. Moose,Seth C. Murray,Rebecca Nelson, Christina Poudyal,Torbert Rocheford,Oscar Rodriguez,Maria Cinta Romay,James C. Schnable,Patrick S. Schnable,Brian Scully,Rajandeep Sekhon,Kevin Silverstein,Maninder Singh,Margaret Smith,Edgar P. Spalding,Nathan Springer,Kurt Thelen,Peter Thomison,Mitchell Tuinstra,Jason Wallace,Ramona Walls,David Wills,Randall J. Wisser,Wenwei Xu,Cheng-Ting Yeh,Natalia de Leon

BMC research notes（2020）

Cited52Views0WOSBibtex

Data-Driven Identification of Environmental Variables Influencing Phenotypic Plasticity to Facilitate Breeding for Future Climates: A Case Study Involving Grain Yield of Hybrid Maize

Aaron Kusmec,Cheng-Ting "Eddy" Yeh, The Genomes to Fields Initiative,Patrick S. Schnable

SSRN Electronic Journal (2020)

Cited0Views0Bibtex

Co‐expression Analysis Aids in the Identification of Genes in the Cuticular Wax Pathway in Maize

Jun Zheng,Cheng He,Yang Qin,Guifang Lin,Woojun D. Park,Minghao Sun,Jian Li,Xiaoduo Lu,Chunyi Zhang,Cheng-Ting Yeh,Chathura J. Gunasekara,Erliang Zeng,Hairong Wei,Patrick S. Schnable,Guoying Wang,Sanzhen Liu

PLANT JOURNAL（2019）

Cited44Views0WOSBibtex

Maize Genomes to Fields: 2014 and 2015 Field Season Genotype, Phenotype, Environment, and Inbred Ear Image Datasets

BMC Research Notes（2018）

Cited40Views0WOSBibtex

Empirical Comparisons of Different Statistical Models to Identify and Validate Kernel Row Number-Associated Variants from Structured Multiparent Mapping Populations of Maize

Jinliang Yang,Cheng-Ting Eddy Yeh,Raghuprakash Kastoori Ramamurthy,Xinshuai Qi,Rohan L. Fernando,Jack C. M. Dekkers,Dorian J. Garrick,Dan Nettleton,Patrick S. Schnable

G3 Genes Genomes Genetics（2018）

Cited13Views0WOSBibtex

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