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protGear

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

Protein Micro Array Data Management and Interactive Visualization


Bioconductor version: Development (3.24)

A generic three-step pre-processing package for protein microarray data. This package contains different data pre-processing procedures to allow comparison of their performance.These steps are background correction, the coefficient of variation (CV) based filtering, batch correction and normalization.

Author: Kennedy Mwai [cre, aut], James Mburu [aut], Jacqueline Waeni [ctb]

Maintainer: Kennedy Mwai <keniajin at gmail.com>

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

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("protGear")
protGear HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews BatchEffect, Bayesian, BiomedicalInformatics, Clustering, ImmunoOncology, Microarray, Normalization, OneChannel, Preprocessing, Proteomics, Regression, Software, SystemsBiology
Version 1.17.0
In Bioconductor since BioC 3.15 (R-4.2) (4.5 years)
License GPL-3
Depends R (>= 4.2), dplyr (>= 0.8.0), limma(>= 3.40.2), vsn(>= 3.54.0)
Imports magrittr (>= 1.5), stats (>= 3.6), ggplot2 (>= 3.3.0), tidyr (>= 1.1.3), data.table (>= 1.14.0), ggpubr (>= 0.4.0), gtools (>= 3.8.2), tibble (>= 3.1.0), rmarkdown (>= 2.9), knitr (>= 1.33), utils (>= 3.6), genefilter(>= 1.74.0), readr (>= 2.0.1), Biobase(>= 2.52.0), plyr (>= 1.8.6), Kendall (>= 2.2), shiny (>= 1.0.0), purrr (>= 0.3.4), plotly (>= 4.9.0), MASS (>= 7.3), htmltools (>= 0.4.0), flexdashboard (>= 0.5.2), shinydashboard (>= 0.7.1), GGally (>= 2.1.2), pheatmap (>= 1.0.12), grid (>= 4.1.1), styler (>= 1.6.1), factoextra (>= 1.0.7), FactoMineR (>= 2.4), rlang (>= 0.4.11), remotes (>= 2.4.0)
System Requirements
URL https://github.com/Keniajin/protGear
Bug Reports https://github.com/Keniajin/protGear/issues
See More
Suggests gridExtra (>= 2.3), png (>= 0.1-7), magick (>= 2.7.3), ggplotify (>= 0.1.0), scales (>= 1.1.1), shinythemes (>= 1.2.0), shinyjs (>= 2.0.0), shinyWidgets (>= 0.6.2), shinycssloaders (>= 1.0.0), shinyalert (>= 3.0.0), shinyFiles (>= 0.9.1), shinyFeedback (>= 0.3.0)
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Package Archives

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

Source Package protGear_1.17.0.tar.gz
Windows Binary (x86_64) protGear_1.17.0.zip
macOS Binary (big-sur-x86_64) protGear_1.17.0.tgz
macOS Binary (sonoma-arm64) protGear_1.17.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/protGear
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/protGear
Bioc Package Browser https://code.bioconductor.org/browse/protGear/
Package Short Url https://bioconductor.org/packages/protGear/
Package Downloads Report Download Stats