Disease Agnostic Pathway Subtyping Framework

A disease-agnostic framework for pathway-based molecular subtype discovery in genetically heterogeneous conditions. Features:- VCF parsing with gene/consequence annotation- Pathway-level burden scoring (GMT format)- GMM-based clustering with BIC model selection- Three validation gates: label shuffle, random gene sets, bootstrap stability- CLI and Python API- Support for autism, schizophrenia, epilepsy, and intellectual disability Installation: pip install pathway-subtyping Documentation: https://github.com/topmist-admin/pathway-subtyping-framework