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Arboreto is a computational library for inferring gene regulatory networks (GRNs) from gene expression data using parallelized algorithms that scale from single machines to multi-node clusters.
Core capability: Identify which transcription factors (TFs) regulate which target genes based on expression patterns across observations (cells, samples, conditions).
Install arboreto:
uv pip install arboreto
Basic GRN inference:
import pandas as pd from arboreto.algo import grnboost2 if __name__ == '__main__': # Load expression data (genes as columns) e
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