Machine Learning for Integrating Partially Overlapped Genetic Datasets [R package DataFusionGDM version 1.3.2]

Jiashuai Zhu

DataFusionGDM: Machine Learning for Integrating Partially Overlapped Genetic Datasets

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>.

Version: 1.3.2

Depends: R (≥ 3.6)

Imports: ggplot2, vegan, mice, stats, utils

Suggests: VIM, knitr, rmarkdown, testthat (≥ 3.0.0)

Published: 2025年11月04日

DOI: 10.32614/CRAN.package.DataFusionGDM

Author: Jiashuai Zhu ORCID iD [aut, cre] (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]

Maintainer: Jiashuai Zhu <jiashuai.zhu at student.unimelb.edu.au>

BugReports: https://github.com/jiashuaiz/DataFusion-GDM/issues

License: GPL-3

URL: https://github.com/jiashuaiz/DataFusion-GDM

NeedsCompilation: no

Citation: DataFusionGDM citation info

Materials: README

CRAN checks: DataFusionGDM results