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SurfR

This is the released version of SurfR; for the devel version, see SurfR.

Surface Protein Prediction and Identification


Bioconductor version: Release (3.22)

Identify Surface Protein coding genes from a list of candidates. Systematically download data from GEO and TCGA or use your own data. Perform DGE on bulk RNAseq data. Perform Meta-analysis. Descriptive enrichment analysis and plots.

Author: Aurora Maurizio [aut, cre] ORCID iD ORCID: 0000-0002-7194-4637 , Anna Sofia Tascini [aut, ctb] ORCID iD ORCID: 0000-0001-5731-5490

Maintainer: Aurora Maurizio <auroramaurizio1 at gmail.com>

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

Installation

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


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

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("SurfR")
Introduction to SurfR HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

Version 1.6.0
In Bioconductor since BioC 3.19 (R-4.4) (1.5 years)
License GPL-3 + file LICENSE
Depends R (>= 4.4.0)
System Requirements
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Suggests BiocStyle, testthat (>= 3.0.0)
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Package Archives

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

Source Package SurfR_1.6.0.tar.gz
Windows Binary (x86_64) SurfR_1.6.0.zip
macOS Binary (x86_64) SurfR_1.6.0.tgz
macOS Binary (arm64) SurfR_1.6.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/SurfR
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/SurfR
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