SVMDO

DOI: 10.18129/B9.bioc.SVMDO  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see SVMDO.

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

Bioconductor version: 3.17

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’s 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 Özer [aut, cre] , Pemra Özbek Sarıca [aut], Kazım Yalçın Arğa [aut]

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

Installation

To install this package, start R (version "4.3") and enter:

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

BiocManager::install("SVMDO")

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("SVMDO")

 

HTML	R Script	SVMDO-Tutorial
PDF		Reference Manual
Text		NEWS

Details

biocViews	Classification, DifferentialExpression, GUI, GeneSetEnrichment, RNASeq, Software, Survival, Transcriptomics
Version	1.0.0
In Bioconductor since	BioC 3.17 (R-4.3) (< 6 months)
License	GPL-3
Depends	R (>= 4.3), shiny (>= 1.7.4)
Imports	shinyFiles (>= 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), 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
LinkingTo
Suggests	knitr, rmarkdown, testthat (>= 3.1.6), BiocStyle
SystemRequirements
Enhances
URL
BugReports	https://github.com/robogeno/SVMDO/issues
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	SVMDO_1.0.0.tar.gz
Windows Binary	SVMDO_1.0.0.zip (64-bit only)
macOS Binary (x86_64)	SVMDO_1.0.0.tgz
macOS Binary (arm64)	SVMDO_1.0.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/SVMDO
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/SVMDO
Bioc Package Browser	https://code.bioconductor.org/browse/SVMDO/
Package Short Url	https://bioconductor.org/packages/SVMDO/
Package Downloads Report	Download Stats