Modeling multiple phenotypes in wheat using data‐driven genomic exploratory factor analysis and Bayesian network learning

M Momen, M Bhatta, W Hussain, H Yu, G Morota - Plant Direct, 2021 - Wiley Online Library
Inferring trait networks from a large volume of genetically correlated diverse phenotypes
such as yield, architecture, and disease resistance can provide information on the manner in …

Modeling multiple phenotypes in wheat using data-driven genomic exploratory factor analysis and Bayesian network learning.

M Momen, M Bhatta, W Hussain, H Yu, G Morota - 2021 - cabidigitallibrary.org
Inferring trait networks from a large volume of genetically correlated diverse phenotypes
such as yield, architecture, and disease resistance can provide information on the manner in …

[PDF][PDF] Mehdi Momen1, Madhav Bhatta2, Waseem Hussain3, Haipeng Yu1, and

G Morota - scholar.archive.org
Inferring trait networks from a large volume of genetically correlated diverse phenotypes 29
such as yield, architecture, and disease resistance can provide information on the manner in …

Modeling multiple phenotypes in wheat using data‐driven genomic exploratory factor analysis and Bayesian network learning

M Momen, M Bhatta, W Hussain, H Yu, G Morota - 2021 - agris.fao.org
Inferring trait networks from a large volume of genetically correlated diverse phenotypes
such as yield, architecture, and disease resistance can provide information on the manner in …

[PDF][PDF] Modeling multiple phenotypes in wheat using data-driven genomic exploratory factor analysis and Bayesian network learning

M Momen, M Bhatta, W Hussain, H Yu, G Morota - 2021 - researchgate.net
Inferring trait networks from a large volume of genetically correlated diverse phenotypes
such as yield, architecture, and disease resistance can provide information on the manner in …

Modeling multiple phenotypes in wheat using data-driven genomic exploratory factor analysis and Bayesian network learning

M Momen, M Bhatta, W Hussain, H Yu, G Morota - bioRxiv, 2020 - biorxiv.org
Inferring trait networks from a large volume of genetically correlated diverse phenotypes
such as yield, architecture, and disease resistance can provide information on the manner in …

Modeling multiple phenotypes in wheat using data‐driven genomic exploratory factor analysis and Bayesian network learning

M Momen, M Bhatta, W Hussain, H Yu, G Morota - Plant Direct, 2021 - search.proquest.com
Inferring trait networks from a large volume of genetically correlated diverse phenotypes
such as yield, architecture, and disease resistance can provide information on the manner in …

Modeling multiple phenotypes in wheat using data-driven genomic exploratory factor analysis and Bayesian network learning

M Momen, M Bhatta, W Hussain, H Yu, G Morota - 2021 - vtechworks.lib.vt.edu
Inferring trait networks from a large volume of genetically correlated diverse phenotypes
such as yield, architecture, and disease resistance can provide information on the manner in …

Modeling multiple phenotypes in wheat using data-driven genomic exploratory factor analysis and Bayesian network learning

M Momen, M Bhatta, W Hussain, H Yu… - Plant Direct, 2021 - experts.nebraska.edu
Inferring trait networks from a large volume of genetically correlated diverse phenotypes
such as yield, architecture, and disease resistance can provide information on the manner in …

Modeling multiple phenotypes in wheat using data-driven genomic exploratory factor analysis and Bayesian network learning.

M Momen, M Bhatta, W Hussain, H Yu, G Morota - Plant Direct, 2021 - europepmc.org
Inferring trait networks from a large volume of genetically correlated diverse phenotypes
such as yield, architecture, and disease resistance can provide information on the manner in …