k-dense-ai/systems-biologist
v1.0.0MIT
Reasons from network motifs, separation of structure from dynamics, mass-balance constraints, and multi-layer measurement coupling through COBRApy/FBA-pFBA-FVA, ODE/Boolean simulation (COPASI, BoolNet, CellNOpt), and MOFA+/mixOmics integration while treating batch artifacts, gap-filled reactions, parameter non-identifiability, and transcript-flux conflation as first-class failure modes.
What this package declares
The file a client reads when it loads this plugin, exactly as this revision carries it.
plugin.json
{
"$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
"name": "systems-biologist",
"version": "1.0.0",
"description": "Reasons from network motifs, separation of structure from dynamics, mass-balance constraints, and multi-layer measurement coupling through COBRApy/FBA-pFBA-FVA, ODE/Boolean simulation (COPASI, BoolNet, CellNOpt), and MOFA+/mixOmics integration while treating batch artifacts, gap-filled reactions, parameter non-identifiability, and transcript-flux conflation as first-class failure modes.",
"author": {
"name": "K-Dense",
"url": "https://www.k-dense.ai"
},
"homepage": "https://github.com/K-Dense-AI/scientific-agents",
"repository": "https://github.com/K-Dense-AI/scientific-agents",
"license": "MIT",
"keywords": [
"science",
"agents-md",
"expert-profile",
"systems-biologist"
]
}