A tool to help ILS (Interdisciplinary Life Sciences, UT Austin) students explore faculty publications: activity over time, coauthorship networks, and semantic similarity to a student's own research interests.
Built by the BioML Society.
pip install -r requirements.txt
streamlit run v4_app/Overview.py5.App_Preparation_v2.py— core analysis library (data loading, tables, figures).5.App_Preparation_v3.py— presentation-layer additions on top of v2 (interactive Plotly figures, hi-res exports); dynamically loads v2 and re-exports it.5.App_Preparation_v4.py— presentation-layer additions on top of v3 (optional pre-print filtering, Fig6 color-bug fix); dynamically loads v3 and re-exports it.v4_app/— the Streamlit multipage app (entry point:v4_app/Overview.py).v3_app/— earlier (v3) version of the app, kept for reference; not used by the running app.Abstracts/,Embeddings/— dataset and precomputed sentence embeddings.ILS_Faculty_List.txt— ILS faculty roster.tmp/— earlier (v1/v2) app versions and the v1↔v2 validation script, kept for reference; not used by the running app.