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("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 | R Script | |
Reference Manual |
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 |
See More
Suggests | parallel |
Linking To | |
Enhances | |
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 (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/ |
Package Downloads Report | Download Stats |