jang1563/cbrn-physics-features

CBRN Physics Features Pre-computed physics-informed distributional features for pathogen-agnostic biological threat detection in gene expression data. Overview This dataset contains per-sample and per-group features computed from the shape of gene expression distributions rather than the identity of individual genes. The four core features — Gini coefficient, Shannon entropy, normalized entropy, and Zipf exponent — are platform-agnostic: they require no gene… See the full description on the dataset page: https://huggingface.co/datasets/jang1563/cbrn-physics-features.