Package: AIMS 1.43.0

Eric R Paquet

AIMS: AIMS : Absolute Assignment of Breast Cancer Intrinsic Molecular Subtype

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.

Authors:Eric R. Paquet, Michael T. Hallett

AIMS_1.43.0.tar.gz
AIMS_1.43.0.zip(r-4.6)AIMS_1.43.0.zip(r-4.5)
AIMS_1.43.0.tgz(r-4.6-any)AIMS_1.43.0.tgz(r-4.5-any)
AIMS_1.43.0.tar.gz(r-4.6-any)AIMS_1.43.0.tar.gz(r-4.5-any)
AIMS_1.43.0.tgz(r-4.5-emscripten)
AIMS.pdf |AIMS.html✨
AIMS/json (API)

# Install 'AIMS' in R:
install.packages('AIMS', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • AIMSmodel - The AIMS model
  • mcgillExample - Sample of a breast cancer gene expression dataset generated at McGill University

On BioConductor:AIMS-1.43.0(bioc 3.23)AIMS-1.42.0(bioc 3.22)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

immunooncologyclassificationrnaseqmicroarraysoftwaregeneexpression

5.38 score 4 packages 7 scripts 800 downloads 77 mentions 1 exports 7 dependencies

Last updated from:50f1469f79. Checks:1 ERROR, 6 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksERROR160
linux-devel-x86_64NOTE179
source / vignettesOK263
linux-release-x86_64NOTE204
macos-devel-arm64NOTE95
macos-release-arm64NOTE116
windows-develNOTE131
windows-releaseNOTE112
wasm-releaseOK133

Exports:applyAIMS

Dependencies:BiobaseBiocGenericsclasse1071genericsMASSproxy

AIMS An Introduction (HowTo)

Rendered fromAIMS.Rnwusingutils::Sweaveon Mar 23 2026.

Last update: 2014-08-14
Started: 2014-08-14