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SVMDO

This is thereleased version of SVMDO; for the devel version, seeSVMDO.

Identification of Tumor-Discriminating mRNA Signatures via Support Vector Machines Supported by Disease Ontology

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DOI: 10.18129/B9.bioc.SVMDO


Bioconductor version: Release (3.22)

It is an easy-to-use GUI using disease information for detecting tumor/normal sample discriminating gene sets from differentially expressed genes. Our approach is based on an iterative algorithm filtering genes with disease ontology enrichment analysis and wilk and wilks lambda criterion connected to SVM classification model construction. Along with gene set extraction, SVMDO also provides individual prognostic marker detection. The algorithm is designed for FPKM and RPKM normalized RNA-Seq transcriptome datasets.

Author: Mustafa Erhan Ozer [aut, cre]ORCID iD ORCID: 0000-0002-1572-8008, Pemra Ozbek Sarica [aut], Kazim Yalcin Arga [aut]

Maintainer: Mustafa Erhan Ozer <erhanozer19 at marun.edu.tr>

Citation (from within R, entercitation("SVMDO")):

Installation

To install this package, start R (version "4.5") and enter:

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

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

Documentation

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

browseVignettes("SVMDO")
SVMDO-TutorialHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsClassification,DifferentialExpression,GUI,GeneSetEnrichment,RNASeq,Software,Survival,Transcriptomics
Version1.10.0
In Bioconductor sinceBioC 3.17 (R-4.3) (2.5 years)
LicenseGPL-3
DependsR (>= 4.4),shiny (>= 1.7.4)
ImportsshinyFiles (>= 0.9.3),shinytitle (>= 0.1.0),golem (>= 0.3.5),nortest (>= 1.0-4),e1071 (>= 1.7-12),BSDA (>= 1.2.1),data.table (>= 1.14.6),sjmisc (>= 2.8.9),klaR (>= 1.7-1),caTools (>= 1.18.2),caret (>= 6.0-93),survival (>= 3.4-0),DT (>= 0.33.0),DOSE(>= 3.24.2),AnnotationDbi(>= 1.60.0),org.Hs.eg.db(>= 3.16.0),dplyr (>= 1.0.10),SummarizedExperiment(>= 1.28.0), grDevices, graphics, stats, utils
System Requirements
URL
Bug Reportshttps://github.com/robogeno/SVMDO/issues
See More
SuggestsBiocStyle,knitr,rmarkdown,testthat (>= 3.1.6)
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Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageSVMDO_1.10.0.tar.gz
Windows Binary (x86_64) SVMDO_1.10.0.zip
macOS Binary (x86_64)SVMDO_1.10.0.tgz
macOS Binary (arm64)SVMDO_1.10.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/SVMDO
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/SVMDO
Bioc Package Browserhttps://code.bioconductor.org/browse/SVMDO/
Package Short Urlhttps://bioconductor.org/packages/SVMDO/
Package Downloads ReportDownload Stats

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