- name
- virtual-cell-reasoner-1.0.0
- description
- Consult a virtual cell language model on single-cell tasks — cell generation, cell understanding, cell perturbation, and biology Q&A using cell token sequences.
- metadata
- {"clawdbot":{"emoji":"🧬","requires":{"bins":["python"]}}}
Virtual Cell LLM
A language model for single-cell biology. Cells are encoded as token sequences:
A-126 B-090 C-058 D-133 E-074 F-053Quick start
# Generate a cell from features
python call_api.py "Given the following cell features:\
\
[CellType] neuron\
\
Provide a cell language token sequence.\
Return ONLY the tokens.\
No extra text."
# Understand a cell from tokens
python call_api.py "The following tokens encode a cell\
\
A-168 B-090 C-005 D-069 E-232 F-196\
Construct a requested feature summary based on this encoding:\
\
[CellType][Identity-Associated TFs][General TFs][Ligands][Receptors][TopExpressedGene]\
Return ONLY canonical feature entries.\
If a feature cannot be inferred from the tokens, use \"NA\".\
\
Do not provide additional text."
# Ask biology questions
python call_api.py "What transcription factors are associated with T cell identity?"Useful flags
--max-tokens NMax new tokens to generate (default: 2048)--temperature FSampling temperature (default: 0.7; lower = more deterministic)--url URLOverride server base URL (default: ngrok endpoint)