About
Arboreto is a high-performance computational tool designed for bioinformaticians and researchers to reconstruct gene regulatory networks (GRNs) from large-scale gene expression datasets. By leveraging gradient boosting and random forest algorithms, it identifies transcription factor-target gene interactions across thousands of samples or cells. It is particularly effective for single-cell RNA-seq analysis, offering seamless integration with distributed computing frameworks like Dask to handle massive biological datasets efficiently on both local machines and high-performance clusters.
