Bagging to improve the accuracy of a clustering procedure.
about
Paradigm of tunable clustering using Binarization of Consensus Partition Matrices (Bi-CoPaM) for gene discoveryConsensus clustering and functional interpretation of gene-expression dataMARS: microarray analysis, retrieval, and storage systemComparability and reproducibility of biomedical dataNeural networks of colored sequence synesthesiaIdentification and clustering of event patterns from in vivo multiphoton optical recordings of neuronal ensembles.Speeding up the Consensus Clustering methodology for microarray data analysisData-driven analysis approach for biomarker discovery using molecular-profiling technologies.Systematic gene function prediction from gene expression data by using a fuzzy nearest-cluster method.Post hoc pattern matching: assigning significance to statistically defined expression patterns in single channel microarray data.Ensemble clustering method based on the resampling similarity measure for gene expression data.Graph-based consensus clustering for class discovery from gene expression data.CC-PROMISE effectively integrates two forms of molecular data with multiple biologically related endpointsA comparative study of different machine learning methods on microarray gene expression dataClustering cancer gene expression data by projective clustering ensemble.Phenotype clustering of breast epithelial cells in confocal images based on nuclear protein distribution analysis.New resampling method for evaluating stability of clustersVery Important Pool (VIP) genes--an application for microarray-based molecular signatures.Convergence among non-sister dendritic branches: an activity-controlled mean to strengthen network connectivity.Application of wavelet-based neural network on DNA microarray data.MULTI-K: accurate classification of microarray subtypes using ensemble k-means clustering.Machine learning integration for predicting the effect of single amino acid substitutions on protein stabilityKnowledge-guided gene ranking by coordinative component analysis.LCE: a link-based cluster ensemble method for improved gene expression data analysis.Hepatic microRNA expression is associated with the response to interferon treatment of chronic hepatitis CMerged consensus clustering to assess and improve class discovery with microarray data.Peeling off the hidden genetic heterogeneities of cancers based on disease-relevant functional modules.Pathway-based analysis of the hidden genetic heterogeneities in cancersLink-Prediction Enhanced Consensus Clustering for Complex NetworksA Scalable Framework For Cluster Ensembles.Ensemble Clustering using Semidefinite Programming with Applications.Information Theory and Voting Based Consensus Clustering for Combining Multiple Clusterings of Chemical Structures.Cytokine Profiles of Severe Influenza Virus-Related Complications in Children.Cluster ensemble based on Random Forests for genetic data.wCLUTO: a Web-enabled clustering toolkit.Bootstrapping for Significance of Compact Clusters in Multidimensional DatasetsCluster ensemble selection based on relative validity indexesPrediction of nanoparticle transport behavior from physicochemical properties: machine learning provides insights to guide the next generation of transport modelsclusterExperiment and RSEC: A Bioconductor package and framework for clustering of single-cell and other large gene expression datasets
P2860
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P2860
Bagging to improve the accuracy of a clustering procedure.
description
2003 nî lūn-bûn
@nan
2003年の論文
@ja
2003年学术文章
@wuu
2003年学术文章
@zh
2003年学术文章
@zh-cn
2003年学术文章
@zh-hans
2003年学术文章
@zh-my
2003年学术文章
@zh-sg
2003年學術文章
@yue
2003年學術文章
@zh-hant
name
Bagging to improve the accuracy of a clustering procedure.
@en
Bagging to improve the accuracy of a clustering procedure.
@nl
type
label
Bagging to improve the accuracy of a clustering procedure.
@en
Bagging to improve the accuracy of a clustering procedure.
@nl
prefLabel
Bagging to improve the accuracy of a clustering procedure.
@en
Bagging to improve the accuracy of a clustering procedure.
@nl
P356
P1433
P1476
Bagging to improve the accuracy of a clustering procedure.
@en
P2093
Jane Fridlyand
Sandrine Dudoit
P304
P356
10.1093/BIOINFORMATICS/BTG038
P407
P577
2003-06-01T00:00:00Z