Arboreto
원문: arboreto
Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Suppo
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Arboreto Overview 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). Quick Start Install arboreto: Basic GRN inference: Critical : Always use if name == ' main ': guard because Dask spawns new processes. Core Capabilities 1. Basic GRN Inference For standard GRN inference workflows including: Input data preparation (Pandas DataFrame or NumPy array) Running inference with GRNBoost2 or GEN…
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