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Bioconductor - pathview (development version)

pathview

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

a tool set for pathway based data integration and visualization

Bioconductor version: Development (3.22)

Pathview is a tool set for pathway based data integration and visualization. It maps and renders a wide variety of biological data on relevant pathway graphs. All users need is to supply their data and specify the target pathway. Pathview automatically downloads the pathway graph data, parses the data file, maps user data to the pathway, and render pathway graph with the mapped data. In addition, Pathview also seamlessly integrates with pathway and gene set (enrichment) analysis tools for large-scale and fully automated analysis.

Author: Weijun Luo

Maintainer: Weijun Luo <luo_weijun at yahoo.com>

Citation (from within R, enter citation("pathview")): Installation

To install this package, start R (version "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("pathview")

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("pathview")
Pathview: pathway based data integration and visualization PDF R Script Reference Manual PDF NEWS Text Details biocViews DifferentialExpression, GeneExpression, GeneSetEnrichment, Genetics, GraphAndNetwork, Metabolomics, Microarray, Pathways, Proteomics, RNASeq, Sequencing, Software, SystemsBiology, Visualization Version 1.49.0 In Bioconductor since BioC 2.12 (R-3.0) (12.5 years) License GPL (>=3.0) Depends R (>= 3.5.0) Imports KEGGgraph, XML, Rgraphviz, graph, png, AnnotationDbi, org.Hs.eg.db, KEGGREST, methods, utils System Requirements URL https://github.com/datapplab/pathview https://pathview.uncc.edu/ See More Suggests gage, org.Mm.eg.db, RUnit, BiocGenerics Linking To Enhances Depends On Me EGSEA, SBGNview Imports Me debrowser, EnrichmentBrowser, GDCRNATools, lilikoi, SQMtools Suggests Me gage, TCGAbiolinks, gageData, CAGEWorkflow, ggpicrust2, ReporterScore Links To Me Build Report Build Report Package Archives

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


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