2012年6月17日 · Here we propose a multi-locus mixed model as a general method for mapping complex traits in structured populations. Simulations suggest that our method outperforms …

This directory contains the mlmm package for the R programming language. It implements an efficient multi-locus mixed-model approach for genome-wide association studies in structured …

First, MLMM is a simple, stepwise mixed-model regression with forward inclusion and backward elimination and FASTmrEMMA is a two-step combined method. In MLMM, the computationally …

MLMM - An efficient multi-locus mixed-model approach for genome-wide association studies in structured populations

2016年2月1日 · The modified MLM method, Multiple Loci Linear Mixed Model (MLMM), incorporates multiple markers simultaneously as covariates in a stepwise MLM to partially …

Two main functions can be used to carry out GWAS with MLMM and plot the results from the analysis: mlmm, the original MLMM as described in Segura, Vilhjálmsson et al. (Nat Gen …

2020年8月1日 · There are four components in mrMLM v4.0.2, including dataset input, parameter setting, software running, and result output. The fread function in data.table is used to quickly …