Supplemental Material for Qiao et al., 2019

dataset

posted on 2019-10-23, 17:26 authored by Pengfei Qiao, Meng Lin, Miguel Vasquez, Susanne Matschi, James Chamness, Matheus Baseggio, Laurie G. Smith, Mert R. Sabuncu, Michael A. Gore, Michael J. Scanlon

GWAS result for bulliform cell column width in San Diego, CA

History

Article title

Machine Learning Enables High-Throughput Phenotyping for Analyses of the Genetic Architecture of Bulliform Cell Patterning in Maize

Manuscript #

10.1534/g3.119.400757

Article DOI

10.1534/g3.119.400757

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Machine Learning Enables High-Throughput Phenotyping for Analyses of the Genetic Architecture of Bulliform Cell Patterning in Maize

G3: Genes|Genomes|Genetics

Keywords

Machine learning development bulliform cell GWAS Plant Biology

Licence

CC BY 4.0