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source("http://bioconductor.org/biocLite.R")
biocLite("ALLMLL")
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ALLMLL
A subset of arrays from a large acute lymphoblastic leukemia (ALL) study
Bioconductor version: 3.0
This package provides probe-level data for 20 HGU133A and 20 HGU133B arrays which are a subset of arrays from a large ALL study. The data is for the MLL arrays. This data was published in Mary E. Ross, Xiaodong Zhou, Guangchun Song, Sheila A. Shurtleff, Kevin Girtman, W. Kent Williams, Hsi-Che Liu, Rami Mahfouz, Susana C. Raimondi, Noel Lenny, Anami Patel, and James R. Downing (2003) Classification of pediatric acute lymphoblastic leukemia by gene expression profiling Blood 102: 2951-2959
Author: B. M. Bolstad Maintainer: B. M. Bolstad <bmb at bmbolstad.com> Citation (from within R,
enter To install this package, start R and enter: Follow
Installation instructions to use this
package in your R session.citation("ALLMLL")):Installation
source("http://bioconductor.org/biocLite.R")
biocLite("ALLMLL")
Documentation
PDF
Reference Manual
Details
biocViews
Cancer, ExperimentData, Leukemia
Version
1.5.1
License
GPL-2
Depends
R (>= 2.10), affy(>= 1.23.4)
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
arrayQualityMetrics, pvac
Build Report
Package Archives
Package Source
ALLMLL_1.5.1.tar.gz
Windows Binary
ALLMLL_1.5.1.zip
Mac OS X 10.6 (Snow Leopard)
ALLMLL_1.5.1.tgz
Mac OS X 10.9 (Mavericks)
ALLMLL_1.5.1.tgz
Browse/checkout source
(username/password: readonly)
Package Downloads Report
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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
- RNA-Seq workflow: gene-level exploratory analysis and differential expression
- Changing genomic coordinate systems with rtracklayer::liftOver
- Mass spectrometry and proteomics data analysis
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