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source("http://bioconductor.org/biocLite.R")
biocLite("OutlierD")
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OutlierD
Outlier detection using quantile regression on the M-A scatterplots of high-throughput data
Bioconductor version: 2.14
This package detects outliers using quantile regression on the M-A scatterplots of high-throughput data.
Author: HyungJun Cho <hj4cho at korea.ac.kr>
Maintainer: Sukwoo Kim <s4kim at korea.ac.kr>
Citation (from within R,
enter citation("OutlierD")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("OutlierD")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("OutlierD")
| R Script | Overview | |
| Reference Manual |
Details
| biocViews | Microarray, Software |
| Version | 1.28.0 |
| In Bioconductor since | BioC 2.1 (R-2.6) |
| License | GPL (>= 2) |
| Depends | R (>= 2.3.0), Biobase, quantreg |
| Imports | |
| Suggests | |
| System Requirements | |
| URL | http://www.korea.ac.kr/~stat2242/ |
| Depends On Me | |
| Imports Me | |
| Suggests Me |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | OutlierD_1.28.0.tar.gz |
| Windows Binary | OutlierD_1.28.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | OutlierD_1.28.0.tgz |
| Mac OS X 10.9 (Mavericks) | OutlierD_1.28.0.tgz |
| Browse/checkout source | (username/password: readonly) |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- 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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