Registration Open for Bioc2024 July 24-26


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>

Maintainer: Adi Laurentiu Tarca <atarca at>

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


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

if (!require("BiocManager", quietly = TRUE))


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


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

maPredictDSC PDF R Script
Reference Manual PDF


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
System Requirements
See More
Suggests parallel
Linking To
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package maPredictDSC_1.42.0.tar.gz
Windows Binary
macOS Binary (x86_64) maPredictDSC_1.42.0.tgz
macOS Binary (arm64) maPredictDSC_1.42.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
Bioc Package Browser
Package Short Url
Package Downloads Report Download Stats