Short Description
Based on the NLP-based semantic analysis model, we developed the software tool - Artemis’ Eye - to assist researchers in easily identifying underlying markers. Additionally, the software labels potential markers that can be detected in body fluids. With Artemis’ Eye, researchers can efficiently locate potential markers and proceed with experiments to validate these findings using the platform designed in our project.
To see the establishment method of this software, you can go to the model page.
ReadMe & Easy usage intro to software
The user interface (UI) of Artemis’ Eye is designed for ease of use, with only two primary buttons. The first is the "disease selection" button, which allows users to either type to search or select from a list to find a specific disease or symptom. The second is the "submit" button, which, when pressed, displays the related proteins below the search area. Furthermore, Artemis’ Eye automatically classifies markers based on their detectability in body fluids. Markers that can be identified in body fluids are highlighted at the top of the results, while others are listed further down. Additionally, the arrangement of proteins is significant: those appearing higher in the results are more strongly related to the selected disease and have a higher potential as biomarkers.
To download the file, please go to the gitlab of our software.
Future outlook
Currently, Artemis’ Eye functions primarily as a disease-protein relationship search engine. Moving forward, we plan to enhance its capabilities by adding features to list binding proteins or receptors for each protein. Our goal is to make the software a more comprehensive tool to streamline and facilitate detection research.