Package: ccdata 1.38.0

Alex Pickering

ccdata: Data for Combination Connectivity Mapping (ccmap) Package

This package contains microarray gene expression data generated from the Connectivity Map build 02 and LINCS l1000. The data are used by the ccmap package to find drugs and drug combinations to mimic or reverse a gene expression signature.

Authors:Alex Pickering

ccdata_1.38.0.tar.gz
ccdata_1.38.0.tar.gz(r-4.7-any)ccdata_1.38.0.tar.gz(r-4.6-any)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ccdata/json (API)

# Install 'ccdata' in R:
install.packages('ccdata', repos = c('https://bioc-release.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • cmap_es - Effect size values for Connectivity Map build 02 drugs.
  • cmap_var - Variance values for Connectivity Map build 02 drugs.
  • genes - HGNC symbols used for NNet predictions.
  • l1000_es - Effect size values for LINCS l1000 signatures.
  • net1 - Neural network model 1 for treatment combinations.
  • net2 - Neural network model 2 for treatment combinations.
  • xgb_mod - XGBoost model for treatment combinations.

On BioConductor:ccdata-1.39.1(data/experiment 3.24)ccdata-1.38.0(data/experiment 3.23)

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

experimentdatamicroarraydataexpressiondatadatapkg

2.66 score 23 scripts 0 exports 0 dependencies

Last updated from:76401058fd (on RELEASE_3_23). Checks:1 ERROR, 2 WARNING, 1 OK. Indexed: no.

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bioc-checksERROR184
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source / vignettesOK3592
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Dependencies: