Infer gene regulatory networks
arboretoskillsetup L2★27,559
K-Dense-AI/scientific-agent-skills ↗What it does
Infer gene regulatory networks from expression
Best for
Fast GRN discovery when bulk sequencing data unavailable
Inputs
- · gene expression matrix
- · transcription factors list
Outputs
- · regulatory network (edges + weights)
- · ranked TF importance
Requires
- · arboreto Python
- · scikit-learn
Preconditions
Expression data (cells×genes); TF list matched to gene IDs
Failure modes
TF mismatch with expression genes; sparse data fails inference
Trust signals
- · scikit-learn compatible
- · benchmarked on DREAM5