DOI: 10.18129/B9.bioc.levi    

This package is for version 3.10 of Bioconductor; for the stable, up-to-date release version, see levi.

Landscape Expression Visualization Interface

Bioconductor version: 3.10

The tool integrates data from biological networks with transcriptomes, displaying a heatmap with surface curves to evidence the altered regions.

Author: Jose Rafael Pilan <rafael.pilan at unesp.br>, Isabelle Mira da Silva <isabelle.silva at unesp.br>, Agnes Alessandra Sekijima Takeda <agnes.takeda at unesp.br>, Jose Luiz Rybarczyk Filho <jose.luiz at unesp.br>

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

Citation (from within R, enter citation("levi")):


To install this package, start R (version "3.6") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))


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


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



HTML R Script Using levi
PDF   Reference Manual
Text   NEWS


biocViews GeneExpression, Network, Sequencing, Software
Version 1.4.2
In Bioconductor since BioC 3.8 (R-3.5) (1.5 years)
License GPL (>= 2)
Imports DT (>= 0.4), RColorBrewer (>= 1.1-2), colorspace (>= 1.3-2), dplyr (>= 0.7.4), ggplot2 (>= 2.2.1), httr (>= 1.3.1), igraph (>= 1.2.1), reshape2 (>= 1.4.3), shiny (>= 1.0.5), shinydashboard (>= 0.7.0), shinyjs (>= 1.0), xml2 (>= 1.2.0), knitr, Rcpp (>= 0.12.18), grid, grDevices, stats, utils, testthat, methods
LinkingTo Rcpp
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package levi_1.4.2.tar.gz
Windows Binary levi_1.4.2.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) levi_1.4.2.tgz
Source Repository git clone https://git.bioconductor.org/packages/levi
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/levi
Package Short Url https://bioconductor.org/packages/levi/
Package Downloads Report Download Stats

Documentation »


R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: