Package: AIMS 1.39.0

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_1.39.0.tar.gz
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AIMS_1.39.0.tgz(r-4.4-any)AIMS_1.39.0.tgz(r-4.3-any)
AIMS_1.39.0.tar.gz(r-4.5-noble)AIMS_1.39.0.tar.gz(r-4.4-noble)
AIMS_1.39.0.tgz(r-4.4-emscripten)AIMS_1.39.0.tgz(r-4.3-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'))

Peer review:

Datasets:
  • AIMSmodel - The AIMS model
  • mcgillExample - Sample of a breast cancer gene expression dataset generated at McGill University

On BioConductor:AIMS-1.37.0(bioc 3.20)AIMS-1.36.0(bioc 3.19)

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

immunooncologyclassificationrnaseqmicroarraysoftwaregeneexpression

4.38 score 4 packages 9 scripts 686 downloads 1 exports 6 dependencies

Last updated 19 days agofrom:0d17e7f91a. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 30 2024
R-4.5-winNOTEOct 30 2024
R-4.5-linuxNOTEOct 30 2024
R-4.4-winNOTEOct 30 2024
R-4.4-macNOTEOct 30 2024
R-4.3-winNOTEOct 30 2024
R-4.3-macNOTEOct 30 2024

Exports:applyAIMS

Dependencies:BiobaseBiocGenericsclasse1071MASSproxy

AIMS An Introduction (HowTo)

Rendered fromAIMS.Rnwusingutils::Sweaveon Oct 30 2024.

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