Showing results (1-10 of 76) with videos related to
Sort By:
Pageof 8
Plos Genetics|February 9, 2019
Fast and flexible linear mixed models for genome-wide geneticsDaniel E Runcie, Lorin CrawfordGenome Biology|July 24, 2021
MegaLMM: Mega-scale linear mixed models for genomic predictions with thousands of traitsDaniel E Runcie, Jiayi Qu, Hao Cheng, et al.The Annals of Applied Statistics|June 17, 2020
VARIABLE PRIORITIZATION IN NONLINEAR BLACK BOX METHODS: A GENETIC ASSOCIATION CASE STUDY<sup>1</sup>Lorin Crawford, Seth R Flaxman, Daniel E Runcie, et al.Genetics|May 3, 2013
Dissecting high-dimensional phenotypes with bayesian sparse factor analysis of genetic covariance matricesDaniel E Runcie, Sayan MukherjeeGenetics|October 29, 2024
MegaLMM improves genomic predictions in new environments using environmental covariatesHaixiao Hu, Renaud Rincent, Daniel E RuncieGenetica|July 29, 2008
Sequence signatures of a recent chromosomal rearrangement in Drosophila mojavensisDaniel E Runcie, Mohamed A F NoorPlos Genetics|June 17, 2020
Estimation of non-null SNP effect size distributions enables the detection of enriched genes underlying complex traitsWei Cheng, Sohini Ramachandran, Lorin CrawfordIscience|June 30, 2022
Uncertainty quantification in variable selection for genetic fine-mapping using bayesian neural networksWei Cheng, Sohini Ramachandran, Lorin CrawfordGenome Research|November 19, 2025
ML-MAGES enables multivariate genetic association analyses with genes and effect size shrinkageXiran Liu, Lorin Crawford, Sohini RamachandranBiorxiv : the Preprint Server for Biology|February 24, 2025
ML-MAGES: A machine learning framework for multivariate genetic association analyses with genes and effect size shrinkageXiran Liu, Lorin Crawford, Sohini RamachandranPageof 8