To install this package, start R and enter:
## try http if https is not available source("https://bioconductor.org/biocLite.R") biocLite("AIMS")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 3.1
This package contains the AIMS implementation. It contains necessary functions to assign the five intrinsic molecular subtypes (Luminal A, Luminal B, Her2-enriched, Basal-like, Normal-like). Assignments could be done on individual samples as well as on dataset of gene expression data.
Author: Eric R. Paquet, Michael T. Hallett
Maintainer: Eric R Paquet <eric.r.paquet at gmail.com>
Citation (from within R,
enter citation("AIMS")
):
To install this package, start R and enter:
## try http if https is not available source("https://bioconductor.org/biocLite.R") biocLite("AIMS")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("AIMS")
R Script | AIMS An Introduction (HowTo) | |
Reference Manual | ||
Text | README |
biocViews | Classification, GeneExpression, Microarray, RNASeq, Software |
Version | 1.0.0 |
In Bioconductor since | BioC 3.1 (R-3.2) (< 6 months) |
License | Artistic-2.0 |
Depends | R (>= 2.10), e1071, Biobase |
Imports | |
LinkingTo | |
Suggests | breastCancerVDX, hgu133a.db, RUnit, BiocGenerics |
SystemRequirements | |
Enhances | |
URL | http://www.bci.mcgill.ca/AIMS |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | AIMS_1.0.0.tar.gz |
Windows Binary | AIMS_1.0.0.zip |
Mac OS X 10.6 (Snow Leopard) | AIMS_1.0.0.tgz |
Mac OS X 10.9 (Mavericks) | AIMS_1.0.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/AIMS/tree/release-3.1 |
Package Short Url | http://bioconductor.org/packages/AIMS/ |
Package Downloads Report | Download Stats |
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