Jun 17, 2012 · Magnus Nordborg and colleagues report a multi-locus mixed-model method (MLMM) for genome-wide association studies in structured populations.

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 …

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

Note: Fill in one box to get results in the other box by clicking "Calculate" button. Data should be separated in coma (,), space ( ), tab, or in separated lines.

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 …

FASTmrEMMA is different from multi-locus mixed-model (MLMM) of Segura et al. in two aspects. First, MLMM is a simple, stepwise mixed-model regression with forward inclusion and …

Feb 2, 2015 · Here we present a far more efficient mixed-model association method, BOLT-LMM, which requires only a small number of O (MN) time iterations and increases power by …

Sep 12, 2024 · Multimodal learning techniques designed to handle missing modalities can mitigate this by ensuring model robustness even when some modalities are unavailable. This …

Mar 30, 2018 · MLMM stands for Maximum Likelihood estimation of the Modal Model. It represents the latest advance in the field of modal analysis, a modal parameter estimation tool …

Jun 1, 2022 · Different from the above single-locus GWAS method, the multilocus mixed model (MLMM) uses a forward stepwise regression model to detect pseudo QTNs as covariates and …