Package: levi Type: Package Title: Landscape Expression Visualization and Network Inference Version: 1.99.0 Authors@R: c(person(given = "Rafael", family = "Pilan", role = "aut", email = "rafael.pilan@unesp.br"), person(given = "Isabelle", family = "Silva", role = "ctb"), person(given = "Agnes", family = "Takeda", role = "ctb"), person(given = "Jose", family = "Rybarczyk Filho", role = c("ctb", "cre", "ths"), email = "jose.luiz@unesp.br", comment = c(ORCID = "0000-0002-0757-3608")) ) Description: Projects gene expression onto the plane of a biological network and draws it as a landscape: a Gaussian-kernel weighted surface on an absolute scale where 0.5 means no change. Regions of the landscape are tested by permutation, either conditional on the network and layout (node-label shuffling, maximum regional mass) or against biological replication (sample-label permutation, with blocking). Graph-native tests complement the landscape: threshold-free cluster enhancement on network components, Moran and Getis-Ord autocorrelation, Laplacian smoothness, Freedman-Lane residual permutation with covariates and degree-preserving rewiring nulls. Pseudobulk workflows for single-cell RNA-seq permute donors rather than cells. Adapters read DESeq2, edgeR, limma and Seurat results, SummarizedExperiment objects and STRING networks. A Shiny interface covers the interactive visualization. URL: https://bioconductor.org/packages/levi BugReports: https://github.com/jrybarczyk/levi/issues Encoding: UTF-8 Imports: BiocParallel, Matrix, dplyr (>= 0.7.4), ggplot2 (>= 2.2.1), grid, grDevices, igraph (>= 1.2.1), methods, Rcpp (>= 0.12.18), reshape2 (>= 1.4.3), shiny (>= 1.0.5), stats, SummarizedExperiment, utils, withr, xml2 (>= 1.2.0) Suggests: testthat, BiocStyle, knitr, rmarkdown, DT (>= 0.4), shinydashboard (>= 0.7.0), shinyjs (>= 1.0), plotly (>= 4.9.0), ggrepel, patchwork, cowplot, gridExtra, htmlwidgets, magick, reticulate, Biobase, DESeq2, edgeR, limma, Seurat, SingleCellExperiment, S4Vectors, clusterProfiler, org.Hs.eg.db, STRINGdb LinkingTo: Rcpp License: GPL (>= 2) biocViews: GeneExpression, Microarray, Sequencing, RNASeq, Network, GraphAndNetwork, StatisticalMethod, Software, Visualization, GUI, GeneSetEnrichment, DifferentialExpression, SingleCell, Proteomics VignetteBuilder: knitr LazyLoad: yes NeedsCompilation: yes Config/roxygen2/version: 8.1.0 Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libuv1-dev libxml2-dev zlib1g-dev Repository: https://bioc.r-universe.dev Date/Publication: 2026-09-19 22:48:21 UTC RemoteUrl: https://github.com/bioc/levi RemoteRef: HEAD RemoteSha: ac8c924642aac186de9e2ca9ccc0b8652fd5ab5c Packaged: 2026-09-20 06:35:17 UTC; root Author: Rafael Pilan [aut], Isabelle Silva [ctb], Agnes Takeda [ctb], Jose Rybarczyk Filho [ctb, cre, ths] (ORCID: ) Maintainer: Jose Rybarczyk Filho