InterFeat

InterFeat is a pipeline for finding interesting scientific features by combining statistical/model-based utility filtering, literature mining, biomedical knowledge graphs, and LLM-based annotation.

Paper: Ofer D, Linial M, Shahaf D. InterFeat: a pipeline for finding interesting scientific features. Scientific Reports 16, 13980 (2026).
https://doi.org/10.1038/s41598-026-43169-5

Repository contents

• code/ — main InterFeat pipeline and analysis code.
• code/Outputs/ — derived feature-level results, annotations, analyses, and figures used in the paper.
• SemMed/ — SemMedDB/UMLS knowledge-graph processing.
• ukbb-hack/ and Premunge_ukbb_aux_tables.ipynb — UK Biobank preprocessing code.

Some notebooks require external resources or local path configuration, including UK Biobank data, SemMedDB/UMLS, and MedRAG.

UK Biobank data are not redistributed in this repository and must be obtained directly through UK Biobank under an approved application.

API credentials

Where required, provide credentials through environment variables (see .env.example), rather than placing them in notebooks or source files.

Citation

If you use us, please cite us!

@article{Ofer2026InterFeat,
  author  = {Ofer, Dan and Linial, Michal and Shahaf, Dafna},
  title   = {InterFeat: a pipeline for finding interesting scientific features},
  journal = {Scientific Reports},
  volume  = {16},
  pages   = {13980},
  year    = {2026},
  doi     = {10.1038/s41598-026-43169-5}
}