A novel linear mixed model approach for multi-omics data
By S. Hong Lee, University of South Australia, Australia
Showing: 61 - 70 of 105 RESULTS
Population scale single cell eQTL mapping identifies cell type specific control of disease
By Joseph Powell, Sydney, Australia
Fast Parallelized Sampling of Bayesian Linear Mixed Models for Whole-genome Prediction
By Hao Cheng, University of California Davis, USA
A statistical framework to incorporate high-throughput proxy phenotypes in genomic predictions for wheat breeding
By Lee Hickey, University of Queensland, Australia
Improving genomic prediction of target hybrids in unobserved environments using geospatial assessment of predictive analytics derived from machine learning techniques
By Diego Jarquin, University of Nebraska-Lincoln, USA
QTL mapping in autotetraploid multi-parent populations
By Rodrigo Amadeu, University of Florida, USA
Modelling GxE in High Throughput Phenotyping data from crop variety trials
By Joanne De Faveri, CSIRO Data61, QLD, Australia
Population genetics of transposable elements in the maize Wisconsin diversity panel
By Christine O’Connor, University of Minnesota, USA
Predicting Phenotype: Modeling Approaches Within The GxE Space
By Jacob Washburn, USDA Missouri, USA
Phenotypic covariance across the entire spectrum of relatedness for 88 billiion pairs of individuals
By Kathryn E Kemper, University of Queensland, Australia