Machine Learning for Integrating Partially Overlapped Genetic Datasets R package DataFusionGDM version 1.3.2 Tools to simulate genetic distance matrices, align and compare them via multidimensional scaling (MDS) and Procrustes, and evaluate imputation with the Bootstrapping Evaluation for Structural Missingness Imputation (BESMI) framework. Methods align with Zhu et al. (2025) <doi:10.3389/fpls.2025.1543956> and the associated software resource Zhu (2025) <doi:10.26188/28602953>. Software Depends: R (>= 3.6) Imports: ggplot2, vegan, mice, stats, utils Suggests: VIM, knitr, rmarkdown, testthat (>= 3.0.0) Jiashuai Zhu <jiashuai.zhu@student.unimelb.edu.au> Comprehensive R Archive Network (CRAN) Jiashuai Zhu [aut, cre] (ORCID: <https://orcid.org/0000-0002-9916-9732>, affiliation: Faculty of Science, The University of Melbourne, Parkville, VIC, Australia; Agriculture Victoria, AgriBio Centre, Bundoora, VIC, Australia), The University of Melbourne [cph], Agriculture Victoria [cph] GPL-3 2025-11-04 application/tgz https://CRAN.R-project.org/package=DataFusionGDM doi:10.32614/CRAN.package.DataFusionGDM