Master of Science in Computer Science (MSCS)
William B. Andreopoulos
PyGrapherConnect, CAPRI, PyGrapher
The evolving landscape of backend computational systems especially in biomedical research involving heavy data operations which have a gap of not being used properly. It is due to the lack of communication standard between the frontend and backend. This gap presents a problem to researchers who need to use the frontend for visualizing and manipulating their data but also want to do complex analysis. CAPRI a python-based backend system specializing in analyzing Evidential Reasoning data also has the same issue. This project offers a solution PyGrapherConnect module acting as a data conversion layer between CAPRI and PyGrapher, its frontend interface. It translates graph data generated by PyGrapher into a txt format readable by CAPRI for further analytical processing. It makes it easier for researchers working with Evidential Reasoning (ER) models, based on the Dempster-Shafer theory to perform the final belief assessment. PyGrapherConnect acting as bridge between frontend and backend, provides a solution to researchers for representing and manipulating these ER models as graph structures, helping researchers to make intricated analytical deductions.
Jain, Shubham, "PyGrapherConnect" (2023). Master's Projects. 1328.