Metapathpredict

This project exposes a high‑performance API that accepts raw DNA sequences and returns functional or disease‑associated predictions. It employs contrastive learning to generate robust sequence embeddings, then refines classification through a deep reinforcement learning policy that optimizes decision boundaries. The backend is built on FastAPI and PyTorch, with optional integration to Prometheus and Grafana for real‑time monitoring. Target users include computational biologists and genomics data scientists who need accurate, scalable sequence analysis without extensive labeled data. The service can be embedded into existing bioinformatics pipelines or used as a standalone microservice for rapid inference.