Shailja Dhanuka

A Random Forest classifier that identifies tumor-reactive vs bystander CD8+ T cells from single-cell RNA-seq expression plus a TCR clonal-expansion feature. Trained with patient-level leave-one-group-out cross-validation across 9 patients (4,399 cells). Full pipeline, usage instructions, and companion activation-scoring script: https://github.com/ShailjaDhanuka/AC-TCR randomforestproduction.joblib — a joblib-pickled Python dict with keys: Use with inference.py from the AC-TCR GitHub repo: X must contain log-normalized expression for the 11 genes above, plus clonesizenorm (or 0.0 per cell if you have no TCR data — see repo README for the caveat on this fallback). - Trained on 9 patients from…