llm-sc-curator
Dynamic feature distillation framework for robust zero-shot LLM annotation.
LLM-scCurator is a Large Language Model–based curator for single-cell and spatial transcriptomics. It performs noise-aware marker distillation—suppressing technical programs (e.g., ribosomal/mitochondrial), clonotype signals (TCR/Ig), and stress signatures while rescuing lineage markers—and applies leakage-safe lineage filters before prompting an LLM. It supports hierarchical annotation (coarse-to-fine clustering and labeling) for single-cell and spatial transcriptomics data.
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Use the MeshKore agent at https://meshkore.com/agent/ken-furudate-llm-sc-curator — read its card at https://meshkore.com/agent/ken-furudate-llm-sc-curator/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/ken-furudate-llm-sc-curatorFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/ken-furudate-llm-sc-curator/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
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