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levi

This is the development version of levi; for the stable release version, see levi.

Landscape Expression Visualization and Network Inference


Bioconductor version: Development (3.24)

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.

Author: Rafael Pilan [aut], Isabelle Silva [ctb], Agnes Takeda [ctb], Jose Rybarczyk Filho [ctb, cre, ths] ORCID iD ORCID: 0000-0002-0757-3608

Maintainer: Jose Rybarczyk Filho <jose.luiz at unesp.br>

Citation (from within R, enter citation("levi")):
Seminal Bioconductor project articles:

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.

Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.

Installation

To install this package, start R (version "4.6") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("levi")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("levi")
levi: A Complete User Guide HTML R Script
levi: Calibration and a real dataset HTML R Script
levi: Which null answers which question HTML R Script
Using levi HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews DifferentialExpression, GUI, GeneExpression, GeneSetEnrichment, GraphAndNetwork, Microarray, Network, Proteomics, RNASeq, Sequencing, SingleCell, Software, StatisticalMethod, Visualization
Version 1.99.0
In Bioconductor since BioC 3.8 (R-3.5) (8 years)
License GPL (>= 2)
Depends
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)
System Requirements
URL https://bioconductor.org/packages/levi
Bug Reports https://github.com/jrybarczyk/levi/issues
See More
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
Linking To Rcpp
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package levi_1.99.0.tar.gz
Windows Binary (x86_64) levi_1.99.0.zip (64-bit only)
macOS Binary (big-sur-x86_64) levi_1.99.0.tgz
macOS Binary (sonoma-arm64) levi_1.99.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/levi
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/levi
Bioc Package Browser https://code.bioconductor.org/browse/levi/
Package Short Url https://bioconductor.org/packages/levi/
Package Downloads Report Download Stats