maPredictDSC
Phenotype prediction using microarray data: approach of the best overall team in the IMPROVER Diagnostic Signature Challenge
Bioconductor version: 3.24 · Package version: 1.51.0
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
| Maintainer | Adi Laurentiu Tarca <atarca@med.wayne.edu> |
| Author | Adi Laurentiu Tarca <atarca@med.wayne.edu> |
| License | GPL-2 |
| URL | http://bioinformaticsprb.med.wayne.edu/maPredictDSC |
| Downloads rank | 429 |
| Source branch | devel |
| biocViews | Classification, Microarray, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | maPredictDSC_1.51.0.tar.gz |
| Windows binary (x86_64) | maPredictDSC_1.51.0.zip |
| macOS binary (arm64) | maPredictDSC_1.51.0.tgz |
| macOS binary (x86_64) | maPredictDSC_1.51.0.tgz |
Dependencies
Depends: R (>= 2.15.0), MASS, affy, limma, gcrma, ROC, class, e1071, caret, hgu133plus2.db, ROCR, AnnotationDbi, LungCancerACvsSCCGEO
Suggests: parallel