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To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("preprocessCore")
In most cases, you don't need to download the package archive at all.
preprocessCore
A collection of pre-processing functions
Bioconductor version: 2.14
A library of core preprocessing routines
Author: Benjamin Milo Bolstad <bmb at bmbolstad.com>
Maintainer: Benjamin Milo Bolstad <bmb at bmbolstad.com>
Citation (from within R,
enter citation("preprocessCore")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("preprocessCore")
Documentation
| Reference Manual |
Details
| biocViews | Infrastructure, Software |
| Version | 1.26.1 |
| In Bioconductor since | BioC 2.1 (R-2.6) |
| License | LGPL (>= 2) |
| Depends | methods |
| Imports | stats |
| Suggests | |
| System Requirements | |
| URL | |
| Depends On Me | affyPLM, AgiMicroRna, CopyNumber450k, cqn, crlmm, RefPlus, virtualArray |
| Imports Me | affy, AffyTiling, ChAMP, charm, cn.farms, ExiMiR, frma, frmaTools, lumi, MBCB, minfi, MSnbase, MSstats, oligo, PECA, waveTiling |
| Suggests Me | oneChannelGUI |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | preprocessCore_1.26.1.tar.gz |
| Windows Binary | preprocessCore_1.26.1.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | preprocessCore_1.26.1.tgz |
| Mac OS X 10.9 (Mavericks) | preprocessCore_1.26.1.tgz |
| Browse/checkout source | (username/password: readonly) |
| Package Downloads Report | Download Stats |
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- Oligonucleotide Arrays
- High-throughput Sequencing
- Counting Reads for Differential Expression (parathyroideSE vignette)
- Annotation
- Annotating Variants
- Annotating Ranges
- Flow Cytometry and other assays
- Candidate Binding Sites for Known Transcription Factors
- Cloud-enabled cis-eQTL search and annotation
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