satijalab/seurat
Apr 2026 – Apr 2026
1 Month active
Languages Used
R
Technical Skills
R programmingShiny frameworkdata visualizationpackage developmentstatistical analysis
Cyrillus Tan
PROFILE
Cyrillus Tan
Worked on the satijalab/seurat repository to enhance data visualization workflows using R and the Shiny framework. Developed a new cumulative variance mode for the ElbowPlot function, improving the interpretability of dimensionality reduction results. Introduced robust input validation for the ndims parameter and clarified warning messages, which reduced user confusion and support requests. Addressed code maintainability by removing unused Shiny imports from the NAMESPACE file, minimizing potential import-related issues. The work focused on both feature development and code quality, leveraging skills in R programming, data visualization, and package development to deliver a more reliable and user-friendly analysis experience.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
4Total
Bugs
1
Commits
4
Features
1
Lines of code
126
Activity Months1
Your Network
34 peopleWork History
April 2026
4 Commits • 1 Features
Apr 1, 2026April 2026: Key feature deliverables and code quality improvements in satijalab/seurat focused on visualization UX, robust error handling, and maintainability.
4 Commits • 1 Features
Apr 1, 2026April 2026: Key feature deliverables and code quality improvements in satijalab/seurat focused on visualization UX, robust error handling, and maintainability.
April 2026
Activity
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Quality Metrics
Correctness95.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage65.0%
Skills & Technologies
Programming Languages
R
Technical Skills
R programmingShiny frameworkdata visualizationpackage developmentstatistical analysis
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