3 papers
cs.AI2026
MetaboT: An LLM-based Multi-Agent Frameworkfor Interactive Analysis of Mass SpectrometryMetabolomics Knowledge Graphs
Madina Bekbergenova, Lucas Pradi, Benjamin Navet +15
Mass spectrometry-based metabolomics generates complex, high-dimensional data that holds vast potential for biological discovery but remains difficult to integrate and interpret. K…
cs.DB2026
MetaboKG: An Analysis-centric Knowledge Graph Framework for Untargeted Metabolomics
Matthieu Féraud, Dina Boukhajou, Fabien Gandon +1
Untargeted metabolomics generates large volumes of tandem mass spectrometry (MS/MS) data and computational annotations that can reveal molecular mechanisms across organisms and env…
cs.AI2026
Mimosa Framework: Toward Evolving Multi-Agent Systems for Scientific Research
Martin Legrand, Tao Jiang, Matthieu Feraud +5
Current Autonomous Scientific Research (ASR) systems, despite leveraging large language models (LLMs) and agentic architectures, remain constrained by fixed workflows and toolsets…