PCAtools
This package is for version 3.9 of Bioconductor; for the stable, up-to-date release version, see PCAtools.
PCAtools: everything Principal Components Analysis
Bioconductor version: 3.9
Principal Components Analysis (PCA) is a very powerful technique that has wide applicability in data science, bioinformatics, and further afield. It was initially developed to analyse large volumes of data in order to tease out the differences/relationships between the logical entities being analysed. It extracts the fundamental structure of the data without the need to build any model to represent it. This 'summary' of the data is arrived at through a process of reduction that can transform the large number of variables into a lesser number that are uncorrelated, i.e., the principal components, whilst at the same time being capable of easy interpretation on the original data.
Author: Kevin Blighe, Myles Lewis
Maintainer: Kevin Blighe <kevin at clinicalbioinformatics.co.uk>, Myles Lewis <myles.lewis at qmul.ac.uk>
citation("PCAtools")):
Installation
To install this package, start R (version "3.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("PCAtools")
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("PCAtools")| PCAtools: everything Principal Components Analysis | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | GeneExpression, RNASeq, Software, Transcription |
| Version | 1.0.0 |
| In Bioconductor since | BioC 3.9 (R-3.6) (5 years) |
| License | GPL-3 |
| Depends | stats, ggplot2, ggrepel, reshape2, lattice, grDevices, cowplot |
| Imports | |
| System Requirements | |
| URL | https://github.com/kevinblighe/PCAtools |
See More
| Suggests | RUnit, BiocGenerics, knitr, Biobase, GEOquery, biomaRt, ggplotify |
| Linking To | |
| 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 | PCAtools_1.0.0.tar.gz |
| Windows Binary | PCAtools_1.0.0.zip |
| Mac OS X 10.11 (El Capitan) | PCAtools_1.0.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/PCAtools |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/PCAtools |
| Bioc Package Browser | https://code.bioconductor.org/browse/PCAtools/ |
| Package Short Url | https://bioconductor.org/packages/PCAtools/ |
| Package Downloads Report | Download Stats |
| Old Source Packages for BioC 3.9 | Source Archive |