Selecting marker genes for cancer classification using supervised weighted kernel clustering and the support vector machine
type: Item
instance of: scholarly article
title: Selecting marker genes for cancer classification using supervised weighted kernel clustering and the support vector machine
zbMATH Open document ID: 1453.62198
author: Jooyong Shim
author: Insuk Sohn
author: Sujong Kim
author: Jae Won Lee
author: Paul E. Green
author: Changha Hwang
published in: Computational Statistics and Data Analysis
publication date: 2010-03-30T00:00:00Z
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 5687885
describes a project that uses: LIBSVM
describes a project that uses: Khan Academy
describes a project that uses: boost
MaRDI profile type: Publication
full work available at URL: j.csda.2008.04.028
OpenAlex ID: W1975408252
cites work: Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data
cites work: Gene selection for cancer classification using support vector machines
cites work: Classification of gene functions using support vector machine for time-course gene expression data
cites work: Q4261789
DOI: 10.1016/J.CSDA.2008.04.028
description: scientific article; zbMATH DE number 5687885