To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("ALL")
In most cases, you don't need to download the package archive at all.
ALL
A data package
Bioconductor version: 3.0
Data of T- and B-cell Acute Lymphocytic Leukemia from the Ritz Laboratory at the DFCI (includes Apr 2004 versions)
Author: Xiaochun Li
Maintainer: Robert Gentleman <rgentlem at gmail.com>
Citation (from within R,
enter citation("ALL")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("ALL")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("ALL")
| R Script | ALL data intro | |
| Reference Manual |
Details
| biocViews | Cancer, ExperimentData, Leukemia |
| Version | 1.7.1 |
| License | Artistic-2.0 |
| Depends | R (>= 2.10), Biobase(>= 2.5.5) |
| Imports | |
| LinkingTo | |
| Suggests | rpart |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | |
| Imports Me | ConsensusClusterPlus |
| Suggests Me | a4, a4Base, a4Classif, a4Preproc, Biobase, BiocCaseStudies, BioNet, Category, ChromHeatMap, clipper, eisa, EnrichmentBrowser, ExpressionView, genefilter, GeneSelectMMD, GOstats, graphite, GSAR, GSEAlm, keggorthology, MLInterfaces, npGSEA, pathRender, ReportingTools, SNAGEE, SNAGEEdata, topGO |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | ALL_1.7.1.tar.gz |
| Windows Binary | ALL_1.7.1.zip |
| Mac OS X 10.6 (Snow Leopard) | ALL_1.7.1.tgz |
| Mac OS X 10.9 (Mavericks) | ALL_1.7.1.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
- 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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