Package: causalASCEND Type: Package Title: Scalable Two-Tier Causal Discovery for Multi-Omic Data Version: 0.99.0 Authors@R: c( person("Stephen", "Asiedu", role = c("aut", "cre"), email = "stephen.asiedu@kcl.ac.uk", comment = c(ORCID = "0009-0005-8885-5381")), person("David", "Watson", role = "aut", email = "david.watson@kcl.ac.uk")) Description: Causal ASCEND (Ancestral Scalable Causal discovEry via iNherited Descent) infers ancestral relations among downstream molecular variables, such as gene expression, when a layer of upstream variables, such as genotypes or methylation sites, is known to precede them. Each conditional independence test conditions only on a small, iteratively refined set of nearest ancestors instead of the whole upstream layer, so the number of tests grows polynomially with the number of variables. The package accepts matrices, SummarizedExperiment objects or a MultiAssayExperiment, and returns the ancestral relations with the rule and evidence behind each one. Depends: R (>= 4.3.0) License: GPL-3 Encoding: UTF-8 Imports: methods, stats, utils Suggests: BiocStyle, knitr, MultiAssayExperiment, rmarkdown, SummarizedExperiment, testthat (>= 3.0.0) VignetteBuilder: knitr biocViews: GraphAndNetwork, NetworkInference, Network, SystemsBiology, GeneExpression, Transcriptomics, SNP, GeneticVariability, MultipleComparison, Software URL: https://github.com/SparkAILab/causalASCEND BugReports: https://github.com/SparkAILab/causalASCEND/issues Config/testthat/edition: 3 Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.1 Collate: 'AllClasses.R' 'accessors.R' 'ascend.R' 'causalASCEND-package.R' 'engine.R' 'evaluate.R' 'simulate.R' Repository: https://biocstaging.r-universe.dev Date/Publication: 2026-10-14 18:34:33 UTC RemoteUrl: https://github.com/BiocStaging/causalASCEND RemoteRef: HEAD RemoteSha: c780ecd145e2db60fd9a57f5525bd1ca801a90b0 NeedsCompilation: no Packaged: 2026-10-14 22:31:26 UTC; root Author: Stephen Asiedu [aut, cre] (ORCID: ), David Watson [aut] Maintainer: Stephen Asiedu