caravagnalab/ProCESS-examples
Oct 2025 – Oct 2025
1 Month active
Languages Used
R
Technical Skills
BioinformaticsData AnalysisData VisualizationR ProgrammingStatistical Analysis
ElenaRivaroli
PROFILE
Elenarivaroli
Erika Rivarossa developed a subclonal deconvolution analysis and visualization script for the caravagnalab/ProCESS-examples repository, focusing on integrating results from multiple subclonal callers. Using R and leveraging skills in bioinformatics and data visualization, she implemented logic to compute and persist performance metrics such as NMI and ARI, enabling reproducible cross-method comparisons. The script generates clear visual outputs to facilitate interpretation and decision support in subclonal calling workflows. While no major bugs were addressed during this period, Erika’s work emphasized workflow reliability and metric tracking, providing a robust foundation for reproducible analytics and comparative analysis in subclonal research contexts.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
567
Activity Months1
Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for caravagnalab/ProCESS-examples: Delivered Subclonal Deconvolution Analysis and Visualization Script enabling cross-caller integration, performance metrics (NMI, ARI), and visual comparisons; including metrics persistence. Commit c43539490495b496b1091679c9376e8e2a8c3132 implements analysis and plots validation for subclonal. No major bugs fixed; maintenance focused on workflow reliability and metric saving for reproducibility. This work enhances decision support for subclonal calling by providing reproducible analytics and clear visuals.
1 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for caravagnalab/ProCESS-examples: Delivered Subclonal Deconvolution Analysis and Visualization Script enabling cross-caller integration, performance metrics (NMI, ARI), and visual comparisons; including metrics persistence. Commit c43539490495b496b1091679c9376e8e2a8c3132 implements analysis and plots validation for subclonal. No major bugs fixed; maintenance focused on workflow reliability and metric saving for reproducibility. This work enhances decision support for subclonal calling by providing reproducible analytics and clear visuals.
October 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
R
Technical Skills
BioinformaticsData AnalysisData VisualizationR ProgrammingStatistical Analysis
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