GSA Journals
Browse
DATASET
Table S26.csv (19.85 MB)
DATASET
Table S25.csv (19.86 MB)
DATASET
Table S24.csv (19.8 MB)
DATASET
Table S23.csv (19.85 MB)
DATASET
Table S22.csv (19.84 MB)
DATASET
Table S21.csv (19.81 MB)
TEXT
Table S20.txt (35.25 kB)
TEXT
Table S19.txt (1.87 MB)
TEXT
Table S18.txt (213.99 MB)
TEXT
Table S17.txt (19.53 kB)
TEXT
Table S16.txt (0.62 kB)
TEXT
Table S15.txt (0.86 kB)
TEXT
Table S14.txt (0.61 kB)
TEXT
Table S13.txt (0.6 kB)
TEXT
Table S12.txt (0.84 kB)
TEXT
Table S11.txt (0.6 kB)
TEXT
Table S10.txt (0.24 kB)
TEXT
Table S9.txt (0.13 kB)
TEXT
Table S8.txt (0.19 kB)
TEXT
Table S7.txt (0.13 kB)
1/0
30 files

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

Usage metrics

    G3: Genes|Genomes|Genetics

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC