{ "_id": "6a1feabdb401979e7343fa9c", "Package": "corto", "Type": "Package", "Title": "Inference of Gene Regulatory Networks", "Version": "1.2.2", "Authors@R": "c(\nperson(\"Federico M.\",\"Giorgi\",email = \"federico.giorgi@gmail.com\",role=c(\"aut\",\"cre\")),\nperson(\"Daniele\",\"Mercatelli\",email = \"danielemercatelli@gmail.com\",role=\"ctb\"),\nperson(\"Gonzalo\",\"Lopez-Garcia\",email = \"gonzolgarcia@gmail.com\",role=\"ctb\"))", "Maintainer": "Federico M. Giorgi ", "Description": "We present 'corto' (Correlation Tool), a simple package to\ninfer gene regulatory networks and visualize master regulators\nfrom gene expression data using DPI (Data Processing\nInequality) and bootstrapping to recover edges. An initial step\nis performed to calculate all significant edges between a list\nof source nodes (centroids) and target genes. Then all triplets\ncontaining two centroids and one target are tested in a DPI\nstep which removes edges. A bootstrapping process then\ncalculates the robustness of the network, eventually re-adding\nedges previously removed by DPI. The algorithm has been\noptimized to run outside a computing cluster, using a fast\ncorrelation implementation. The package finally provides\nfunctions to calculate network enrichment analysis from RNA-Seq\nand ATAC-Seq signatures as described in the article by Giorgi\nlab (2020) .", "License": "LGPL-3", "Encoding": "UTF-8", "RoxygenNote": "7.2.3", "NeedsCompilation": "no", "VignetteBuilder": "knitr", "Repository": "https://federicogiorgi.r-universe.dev", "Date/Publication": "2026-03-05 10:51:47 UTC", "RemoteUrl": "https://github.com/federicogiorgi/corto", "RemoteRef": "HEAD", "RemoteSha": "12e186ca0dbd16e322f8753d46b0f4420f748bf5", "Packaged": { "Date": "2026-06-03 08:43:58 UTC", "User": "root" }, "Author": "Federico M. 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