Problems in gene clustering based on gene expression data
type: Item
instance of: scholarly article
title: Problems in gene clustering based on gene expression data
zbMATH Open document ID: 1047.62060
published in: Journal of Multivariate Analysis
publication date: 2004-08-16T00:00:00Z
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 92D10
zbMATH DE Number: 2091263
zbMATH Keywords: Cluster analysis
zbMATH Keywords: Microarrays
zbMATH Keywords: Confidence
zbMATH Keywords: Bootstrap
describes a project that uses: clusfind
describes a project that uses: affy
describes a project that uses: vsn
describes a project that uses: R
author: Jennifer Bryan
MaRDI profile type: Publication
full work available at URL: j.jmva.2004.02.011
OpenAlex ID: W2001731844
Wikidata QID: Q57835319
cites work: Q4532843
cites work: Bootstrap confidence levels for phylogenetic trees
cites work: The problem of regions
cites work: Q3067756
cites work: The elements of statistical learning. Data mining, inference, and prediction
cites work: The analysis of gene expression data. Methods and software
cites work: Finding Groups in Data
cites work: Q5646251
cites work: Bootstrapping cluster analysis: Assessing the reliability of conclusions from microarray experi\-ments.
cites work: Statistical inference for simultaneous clustering of gene expression data
cites work: Estimating the number of clusters in a data set via the gap statistic
cites work: Gene expression analysis with the parametric bootstrap
DOI: 10.1016/J.JMVA.2004.02.011
description: scientific article; zbMATH DE number 2091263