Articles by Andrea Rekasi

Mathematical Modeling of Clonogenic Survival Curves: Understanding Radiation Response Through Linear Analysis

March 13, 2025 | Andrea Rekasi

Radiation therapy continues functioning as a vital cancer treatment method through its utilization of ionizing radiation to hurt tumor cells. Discovery of radiation-based treatment success depends on evaluating clonogenic survival ability that describes a cell’s reproductive potential after exposure to radiation. The relationship between radiation dose and surviving cells ...
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Automated Regression Testing in 2025: Best Practises from Top QA Teams

March 6, 2025 | Andrea Rekasi

Software defects become substantially more expensive to fix in production. Automated regression testing plays a vital role in modern software development. Changes happen continuously in today’s ever-changing development environment. Teams must ensure existing functionalities stay intact. Development teams can run tests simultaneously across multiple browsers and devices with tools ...
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How Linear Regression Improves Clonogenic Survival Curve Accuracy

January 22, 2025 | Andrea Rekasi

Linear regression plays a vital role in analysing clonogenic survival curves, with accuracy rates of 95.46% to 99.32% in cell survival data modelling. Scientists can now review how cells maintain their reproductive integrity after radiation exposure through these precise measurements. Researchers rely on clonogenic survival assay as a key tool that shows ...
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Understanding Why Sklearn PCA Differs from Scratch Implementations

December 2, 2024 | Andrea Rekasi

Data scientists often face a puzzling challenge. Their carefully crafted Principal Component Analysis (PCA) implementation gives different results compared to scikit-learn’s version. These differences create confusion and make debugging harder, even when both implementations appear mathematically sound. PCA is a significant dimensionality reduction technique in machine learning that helps ...
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