MKLMM is a Python package for predition of complex phenotypes from single nucleotide polymorphism (SNP) data that can model genetic interactions by using multi-kernel-learning techniques. The model is ...

Integrating case counts with genomic sequences quantifies real-time transmission advantages of viral variants.

Agentic LLMs keep failing the same way because they lack specific, reusable capabilities. Stanford's TRACE diagnoses those gaps from an agent's own trajectories, synthesizes one verifiable training ...

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