Bioconductor version: Release (3.16)
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 (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("AIMS")
For older versions of R, please refer to the appropriate Bioconductor release.
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, ImmunoOncology, Microarray, RNASeq, Software |
Version | 1.30.0 |
In Bioconductor since | BioC 3.1 (R-3.2) (8 years) |
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 | genefu |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | AIMS_1.30.0.tar.gz |
Windows Binary | AIMS_1.30.0.zip |
macOS Binary (x86_64) | AIMS_1.30.0.tgz |
macOS Binary (arm64) | AIMS_1.30.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/AIMS |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/AIMS |
Bioc Package Browser | https://code.bioconductor.org/browse/AIMS/ |
Package Short Url | https://bioconductor.org/packages/AIMS/ |
Package Downloads Report | Download Stats |
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