CompBio and MIRaS : A Multi-omic Analysis Platform Built on a Memory-Based Intelligence Engine
Head, R. D.; Barve, R. A.; Storer, C. E.; Hoxsie, W. D.; Marcum, C.; McMichael, J. F.; Lalmansingh, J. M.; Smith, B. K.; Johnson, M. R.; Kuster, D. J.
Show abstract
As molecular and cellular technologies have advanced, the need to analyze and interpret the resulting, often vast and multi-modal, data into actionable intelligence has become a rate-limiting factor in scientific advancement. While traditional knowledgebase-pathway tools and LLM-based AI tools both provide a degree of support in data interpretation, both exhibit limitations. Presented here is the CompBio multi-omic analysis platform built upon a novel memory-based intelligence engine, MIRaS. The system is not dependent on human-curated pathway knowledgebases, can perform statistical significance analysis, does not suffer from hallucination, and produces traceable results. Furthermore, substantial effort has been placed in the computer-human knowledge transfer components of the system to enable efficient interaction, interpretation, and learning. The system has undergone years of extensive testing, validation, and evolution in omics-based research with dozens of associated publications verifying its effectiveness. A systematic assessment of CompBio and a detailed description of the MIRaS method are provided.
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