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maPredictDSC

Phenotype prediction using microarray data: approach of the best overall team in the IMPROVER Diagnostic Signature Challenge

Bioconductor version: 3.23 · Package version: 1.50.0

This package implements the classification pipeline of the best overall team (Team221) in the IMPROVER Diagnostic Signature Challenge. Additional functionality is added to compare 27 combinations of data preprocessing, feature selection and classifier types.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("maPredictDSC")

Details

MaintainerAdi Laurentiu Tarca <atarca@med.wayne.edu>
AuthorAdi Laurentiu Tarca <atarca@med.wayne.edu>
LicenseGPL-2
URLhttp://bioinformaticsprb.med.wayne.edu/maPredictDSC
Downloads rank429
Source branchRELEASE_3_23
biocViewsClassification, Microarray, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagemaPredictDSC_1.50.0.tar.gz
Windows binary (x86_64)maPredictDSC_1.50.0.zip
macOS binary (arm64)maPredictDSC_1.50.0.tgz
macOS binary (x86_64)maPredictDSC_1.50.0.tgz
Dependencies

Depends: R (>= 2.15.0), MASS, affy, limma, gcrma, ROC, class, e1071, caret, hgu133plus2.db, ROCR, AnnotationDbi, LungCancerACvsSCCGEO

Suggests: parallel