Orchestra: Corroboration-Based Regulatory Candidate Discovery via Composed Bioinformatics MCP Agents
3.00T1 sourcearXiv cs.MA
Source record
Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2609.05496.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryA multi-agent bioinformatics system (Orchestra) that composes two MCP servers — RegNetAgents for gene regulatory network topology and CASCADE for four experimental evidence sources — to identify cancer gene regulators. Tests whether requiring agreement between computational topology and experimental evidence yields more trustworthy candidates than either alone, validating on TCGA BRCA, COAD, and STAD panels against OncoKB and COSMIC ground truth.
Why it mattersConcrete corroboration pattern for multi-agent workflows: require independent evidence sources to agree before flagging a candidate. Useful methodological reference for filtering noisy single-source agent outputs.
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