maPredictDSC

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


Bioconductor version: Release (3.19)

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.

Author: Adi Laurentiu Tarca <atarca at med.wayne.edu>

Maintainer: Adi Laurentiu Tarca <atarca at med.wayne.edu>

Citation (from within R, enter citation("maPredictDSC")):

Installation

To install this package, start R (version "4.4") and enter:


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

BiocManager::install("maPredictDSC")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("maPredictDSC")
maPredictDSC PDF R Script
Reference Manual PDF

Details

biocViews Classification, Microarray, Software
Version 1.42.0
In Bioconductor since BioC 2.13 (R-3.0) (11 years)
License GPL-2
Depends R (>= 2.15.0), MASS, affy, limma, gcrma, ROC, class, e1071, caret, hgu133plus2.db, ROCR, AnnotationDbi, LungCancerACvsSCCGEO
Imports
System Requirements
URL http://bioinformaticsprb.med.wayne.edu/maPredictDSC
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package maPredictDSC_1.42.0.tar.gz
Windows Binary (x86_64) maPredictDSC_1.42.0.zip
macOS Binary (x86_64) maPredictDSC_1.42.0.tgz
macOS Binary (arm64) maPredictDSC_1.42.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/maPredictDSC
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/maPredictDSC
Bioc Package Browser https://code.bioconductor.org/browse/maPredictDSC/
Package Short Url https://bioconductor.org/packages/maPredictDSC/
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