GW-SEM 2.0: Efficient, Flexible, and Accessible Multivariate GWAS
Joshua N. Pritikin, Michael C. Neale, Elizabeth Prom‐Wormley, Shaunna L. Clark, Brad Verhulst
Topics & Concepts
Genome-wide association studyMultivariate statisticsMultivariate analysisComputer scienceVariance (accounting)Context (archaeology)Single-nucleotide polymorphismData miningStatisticsMathematicsBiologyMachine learningGeneticsPaleontologyGenotypeBusinessGeneAccountingGenetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and AnimalsGenetic and phenotypic traits in livestock