basic_inference
If not provided, all genes are considered potential regulators.
- Skills
- Scientific
- 2
What it does and how to use it
A skill that teaches Claude Code to do scientific tasks well. It is packaged knowledge the model uses whenever it is relevant.
- Install the skill (command above).
- In Claude Code, describe what you need - the skill turns on by itself when the context fits.
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Install (Claude Code)
mkdir -p .claude/skills/basic-inference && curl -fsSL https://doutorai.pt/data/lib/skills__basic-inference.md -o .claude/skills/basic-inference/SKILL.mdPaste this command into the terminal, in your project folder, and the component installs automatically.
Content
# Basic GRN Inference with Arboreto
## Input Data Requirements
Arboreto requires gene expression data in one of two formats:
### Pandas DataFrame (Recommended)
- **Rows**: Observations (cells, samples, conditions)
- **Columns**: Genes (with gene names as column headers)
- **Format**: Numeric expression values
Example:
```python
import pandas as pd
# Load expression matrix with genes as columns
expression_matrix = pd.read_csv('expression_data.tsv', sep='\t')
# Columns: ['gene1', 'gene2', 'gene3', ...]
# Rows: observation data
```
### NumPy Array
- **Shape**: (observations, genes)
- **Requ
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