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SVMDO

Bioc current

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

v1.11.0 · software · GPL-3
View on Bioconductor ↗ Source ↗

Release Lineage

Entered 3.17 · Apr 26, 2023

Current · Requires R 4.6

1.0 In 7 of 49 releases 3.23

Description

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.

Code

Code metrics have not been computed for this package yet.

Topics

Software › BiologicalQuestion › GeneSetEnrichment
Software › BiologicalQuestion › DifferentialExpression
Software › Infrastructure › GUI
Software › StatisticalMethod › Classification
Software › Technology › Sequencing › RNASeq
Software › ResearchField › Transcriptomics
Software › StatisticalMethod › Survival

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