MuyuWorks
Scientific data analysis, R-based statistical modeling, visualization, and reproducible research workflows.
MuyuWorks is the public professional platform of Muyu Gu. The work connects biological questions with measurement, transparent analysis, interpretable figures, and reproducible outputs.
What I work on
Experimental data and R
Cleaning, statistical analysis, and modeling for documented experimental and genetic research.
Measurement and visualization
Image and time-series measurement, publication-oriented figures, and explicit analytical decisions.
Reproducible research tools
Experimental systems, technical publishing, evidence-based documentation, and research communication.
Current capability directions are described on the Services page.
Selected evidence
Hydrotropism research workflow
Controlled experiments, time-series phenotyping, R analysis, genetic interpretation, and explicit limitations.
Quantitative phenotyping and genetic analysis
Image-derived traits, genotype quality control, GWAS/QTL-oriented analysis, and candidate-region interpretation.
Reproducible technical publishing
This Quarto site demonstrates source controls, Git review, link validation, and separation between private evidence and public claims.
Public applications
A flexible bar-plot generator and an Oat EMS application are available on separate external subdomains. The Oat EMS link is provided without claims about its scientific methods, validation, performance, or outcomes.
External applications are separate from this static website and may have different data-handling behavior. Do not submit confidential or sensitive data without reviewing the application’s terms and suitability.
About Muyu
Muyu Gu earned a PhD in Biological Sciences from South Dakota State University in 2025. His doctoral work combined controlled experiments, quantitative phenotyping, R-based analysis, genetic association studies, and research communication.