Our Projects Visualizing Data Using Python
Biology students with no prior coding experience learn to create insightful visualizations for complex biological data from scratch. Through a hands-on approach, these scholars have gained foundational coding skills and can confidently use Python to transform raw data into meaningful visuals.
Fall 2024
Detailed analysis of the Wisconsin Breast Cancer dataset explored tumor features such as concavity, symmetry, perimeter, and compactness. Using visualization techniques, the findings highlighted patterns that distinguish malignant from benign tumors, providing insights for improved diagnostic accuracy. Read more
Spring 2024
The number of concave points on a cell nucleus and the compactness of the nucleus are directly proportional. As the number of concave points increases, the available free space within the nucleus becomes more limited, resulting in a more compact structure. Read about Dalal and Abigail’s experiences Read more.
