Package: LungCancerACvsSCCGEO 1.49.0

Adi Laurentiu Tarca

LungCancerACvsSCCGEO: A lung cancer dataset that can be used with maPredictDSC package for developing outcome prediction models from Affymetrix CEL files.

This package contains 30 Affymetrix CEL files for 7 Adenocarcinoma (AC) and 8 Squamous cell carcinoma (SCC) lung cancer samples taken at random from 3 GEO datasets (GSE10245, GSE18842 and GSE2109) and other 15 samples from a dataset produced by the organizers of the IMPROVER Diagnostic Signature Challenge available from GEO (GSE43580).

Authors:Adi Laurentiu Tarca <[email protected]>

LungCancerACvsSCCGEO_1.49.0.tar.gz
LungCancerACvsSCCGEO_1.49.0.tar.gz(r-4.7-any)LungCancerACvsSCCGEO_1.49.0.tar.gz(r-4.6-any)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
LungCancerACvsSCCGEO/json (API)

# Install 'LungCancerACvsSCCGEO' in R:
install.packages('LungCancerACvsSCCGEO', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • anoLC - Annotation of a small set of training and test set samples (30 total) used by team 221 in the IMPROVER DSC for the lung cancer sub-challenge.
  • gsLC - Annotation of a small set of training and test set samples (30 total) used by team 221 in the IMPROVER DSC for the lung cancer sub-challenge.

On BioConductor:LungCancerACvsSCCGEO-1.49.0(data/experiment 3.24)LungCancerACvsSCCGEO-1.48.0(data/experiment 3.23)

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

cancerdatalungcancerdatamicroarraydatageodatapkg

2.30 score 0 exports 0 dependencies

Last updated from:9261fef5f0. Checks:1 ERROR, 2 NOTE, 1 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksERROR141
linux-develNOTE332
source / vignettesOK461
linux-releaseNOTE348

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Dependencies: