Transcription factor-binding site identification and gene classification via fusion of the supervised-weighted discrete kernel clustering and support vector machine

DOI10.1080/02664763.2013.845143OpenAlexW2023397171MaRDI QIDQ5128604

Sujong Kim, Jae Won Lee, Jooyong Shim, Insuk Sohn, Changha Hwang

Publication date: 28 October 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2013.845143

zbMATH Keywords

support vector machinestranscription factorsupervised clusteringgene classificationtranscription factor-binding site

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

On maximum depth classifiers: depth distribution approach

Uses Software

• JASPAR
• LogicReg

Cites Work

• Informative transcription factor selection using support vector machine-based generalized approximate cross validation criteria
• Selecting marker genes for cancer classification using supervised weighted kernel clustering and the support vector machine

This page was built for publication: Transcription factor-binding site identification and gene classification via fusion of the supervised-weighted discrete kernel clustering and support vector machine