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G3 (Bethesda, Md.)
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September 13, 2019
Pitfalls and Remedies for Cross Validation with Multi-trait Genomic Prediction Methods
Daniel Runcie, Hao Cheng
Genetics
|
December 19, 2022
Mega-scale Bayesian regression methods for genome-wide prediction and association studies with thousands of traits
Jiayi Qu, Daniel Runcie, Hao Cheng
Genetics
|
November 4, 2024
Megavariate methods capture complex genotype-by-environment interactions
Alencar Xavier, Daniel Runcie, David Habier
Trends in Ecology & Evolution
|
December 24, 2014
Applying developmental threshold models to evolutionary ecology
Kathleen Donohue, Liana T Burghardt, Daniel Runcie, et al.
BMC Evolutionary Biology
|
September 25, 2020
Floral signals evolve in a predictable way under artificial and pollinator selection in Brassica rapa
Pengjuan Zu, Florian P Schiestl, Daniel Gervasi, et al.
Journal of Dairy Science
|
July 5, 2024
Exploring a Bayesian sparse factor model-based strategy for the genetic analysis of thousands of mid-infrared spectra traits for animal breeding
Yansen Chen, Hadi Atashi, Jiayi Qu, et al.
G3 (Bethesda, Md.)
|
September 29, 2020
Multiple Loci Control Variation in Plasticity to Foliar Shade Throughout Development in <i>Arabidopsis thaliana</i>
James Ta, Christine Palmer, Marcus Brock, et al.
Frontiers in Genetics
|
December 11, 2023
Improving predictive ability in sparse testing designs in soybean populations
Reyna Persa, Caio Canella Vieira, Esteban Rios, et al.
Plos Genetics
|
December 3, 2020
Gene regulatory effects of a large chromosomal inversion in highland maize
Taylor Crow, James Ta, Saghi Nojoomi, et al.
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik
|
July 3, 2024
High-dimensional multi-omics measured in controlled conditions are useful for maize platform and field trait predictions
Baber Ali, Bertrand Huguenin-Bizot, Maxime Laurent, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 14) with videos related to
Sort By:
Page
of 2
G3 (Bethesda, Md.)
|
September 13, 2019
Pitfalls and Remedies for Cross Validation with Multi-trait Genomic Prediction Methods
Daniel Runcie, Hao Cheng
Genetics
|
December 19, 2022
Mega-scale Bayesian regression methods for genome-wide prediction and association studies with thousands of traits
Jiayi Qu, Daniel Runcie, Hao Cheng
Genetics
|
November 4, 2024
Megavariate methods capture complex genotype-by-environment interactions
Alencar Xavier, Daniel Runcie, David Habier
Trends in Ecology & Evolution
|
December 24, 2014
Applying developmental threshold models to evolutionary ecology
Kathleen Donohue, Liana T Burghardt, Daniel Runcie, et al.
BMC Evolutionary Biology
|
September 25, 2020
Floral signals evolve in a predictable way under artificial and pollinator selection in Brassica rapa
Pengjuan Zu, Florian P Schiestl, Daniel Gervasi, et al.
Journal of Dairy Science
|
July 5, 2024
Exploring a Bayesian sparse factor model-based strategy for the genetic analysis of thousands of mid-infrared spectra traits for animal breeding
Yansen Chen, Hadi Atashi, Jiayi Qu, et al.
G3 (Bethesda, Md.)
|
September 29, 2020
Multiple Loci Control Variation in Plasticity to Foliar Shade Throughout Development in <i>Arabidopsis thaliana</i>
James Ta, Christine Palmer, Marcus Brock, et al.
Frontiers in Genetics
|
December 11, 2023
Improving predictive ability in sparse testing designs in soybean populations
Reyna Persa, Caio Canella Vieira, Esteban Rios, et al.
Plos Genetics
|
December 3, 2020
Gene regulatory effects of a large chromosomal inversion in highland maize
Taylor Crow, James Ta, Saghi Nojoomi, et al.
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik
|
July 3, 2024
High-dimensional multi-omics measured in controlled conditions are useful for maize platform and field trait predictions
Baber Ali, Bertrand Huguenin-Bizot, Maxime Laurent, et al.
Page
of 2