
Arishta contributed to the cBioPortal/cbioportal-frontend repository by delivering front-end enhancements focused on data export, mutation data presentation, and user interface improvements. Using React, TypeScript, and CSS, Arishta restructured mutation data exports to use NP identifiers and convert JSON to TSV, improving data accessibility and accuracy. She also prepared the mutation results table for future gene-level display by adding a configurable Gene column and refined the Study view with contextual UI elements to streamline user interaction. Additionally, Arishta addressed a backend configuration bug in cBioPortal/cbioportal, ensuring boolean values are correctly parsed and exposed, which stabilized API data integrity.
January 2025 monthly summary for cBioPortal/cbioportal: Delivered a critical bug fix in frontend configuration properties by correcting boolean parsing in getFrontendProperties and ensuring API responses expose correct boolean types, preventing parsing errors. This work stabilizes frontend configuration and improves data integrity for configuration-related features.
January 2025 monthly summary for cBioPortal/cbioportal: Delivered a critical bug fix in frontend configuration properties by correcting boolean parsing in getFrontendProperties and ensuring API responses expose correct boolean types, preventing parsing errors. This work stabilizes frontend configuration and improves data integrity for configuration-related features.
December 2024 monthly summary for cBioPortal/cbioportal-frontend: Delivered key front-end improvements to data export and mutation data presentation, implemented UI enhancements for study view, and prepared for future gene-level display in the mutation table, along with a critical bug fix in the clinical tab download flow. These changes strengthen data accessibility, accuracy, and user experience while laying groundwork for upcoming features.
December 2024 monthly summary for cBioPortal/cbioportal-frontend: Delivered key front-end improvements to data export and mutation data presentation, implemented UI enhancements for study view, and prepared for future gene-level display in the mutation table, along with a critical bug fix in the clinical tab download flow. These changes strengthen data accessibility, accuracy, and user experience while laying groundwork for upcoming features.

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