Consensus clustering -- A resampling-based method for class discovery and visualization of gene expression microarray data

Consensus clustering -- A resampling-based method for class discovery and visualization of gene expression microarray data (2003)

Cached

Download Links

by Stefano Monti , Pablo Tamayo , Jill Mesirov , Todd Golub

Venue:	MACHINE LEARNING, FUNCTIONAL GENOMICS SPECIAL ISSUE
Citations:	91 - 3 self

BibTeX

@INPROCEEDINGS{Monti03consensusclustering,
    author = {Stefano Monti and Pablo Tamayo and Jill Mesirov and Todd Golub},
    title = { Consensus clustering -- A resampling-based method for class discovery and visualization of gene expression microarray data},
    booktitle = {MACHINE LEARNING, FUNCTIONAL GENOMICS SPECIAL ISSUE},
    year = {2003},
    pages = {91--118},
    publisher = {}
}

Years of Citing Articles

Bookmark

OpenURL

Abstract

Citations

3341	Pattern Classification and Scene Analysis - Duda, Hart - 1973
2726	The self-organizing map - Kohonen - 1990
1753	Dubes, Algorithms for Clustering Data - Jain, C - 1988
1176	Cluster analysis and display of genome-wide expression patterns - Eisen, Spellman, et al. - 1998
812	Molecular classification of cancer: class discovery and class prediction by gene expression monitoring - Golub, Slonim, et al. - 1999
717	Bayes factors - Kass, Raftery - 1995
511	DM: Statistical Analysis of Finite Mixture Distributions Chichester - Titterington - 1985
416	Bayesian classification (AutoClass): Theory and results - Cheeseman, Stutz - 1996
322	Arable P: Comparing partitions - Hubert - 1985
253	Raftery A: Model-based Gaussian and non-Gaussian clustering. Biometrics - Banfield - 1993
203	An Examination of Procedures for Determining the Number of Clusters in a Data Set - Milligan, Cooper - 1985
167	Estimating the number of clusters in a data set via the gap statistic - Tibshirani, Walther, et al.
155	Efficient approximations for the marginal likelihood of Bayesian networks with hidden variables - Chickering, Heckerman - 1997
129	Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses - Bhattacharjee, WG, et al. - 2001
127	Predicting the clinical status of human breast cancer by using gene expression profiles. Proc Natl Acad Sci U S A 98: 11462–11467 - West, Blanchette, et al. - 2001
75	FA: Measuring Inequality - Cowell - 1995
72	A stability based method for discovering structure in clustered data - Ben-Hur, Elisseeff, et al.
66	Bayesian factor regression models in the "Large p, Small n" paradigm. Bayesian statistics 2003 - West
61	Class prediction and discovery using gene expression data - Slonim, Tamayo, et al. - 2000
46	A study of the comparability of external criteria for hierarchical cluster analysis - Milligan, Cooper - 1986
25	SREBRO N.: K-ary clustering with optimal leaf ordering for gene expression data - BAR-JOSEPH, DEMAINE, et al.
21	Bootstrap technique in cluster analysis - Jain, Moreau - 1986
20	On significance tests in cluster analysis - Bock - 1985
16	Self-organizing maps. information science - Kohonen - 2001
14	Asymptotic Distributions for Clustering Criteria - Hartigan - 1978
5	2002, ‘A Prediction-based Resampling Method for Estimating the Number of Clusters in a Dataset - Dudoit, Fridlyand
4	al (2001) Multiclass cancer diagnosis using tumor gene expression signatures - Ramaswamy
4	Godlub: 1999, ‘Interpreting patterns of gene expression with self-organizing maps: Methods and application to hematopoietic differentiation - Tamayo, Slonim, et al.
4	Ruzzo: 2001a, ‘Model-based clustering and data transformations for gene expression data - Yeung, Fraley, et al.
4	Ruzzo: 2001b, ‘Validating clustering for gene expression data - Yeung, Haynor, et al.
3	and Eytan Domany. 2001. Resampling method for unsupervised estimation of cluster validity - Levine
3	Kohane: 2002, ‘Cluster analysis of gene expression dynamics - Ramoni, Sebastiani, et al.
2	Tibshirani: 1994, An Introduction to the Bootstrap - Efron, J
2	2001, The Elements of Statistical Learning, Statistics - Hastie, Tibshirani, et al.
2	Golub: 2002, ‘Gene Expression-Based Classification and Outcome Prediction of Central Nervous System Embryonal Tumors - Pomeroy, Tamayo, et al.
2	Hogenesch: 2002, ‘Large-scale Analysis of the Human and Mouse Transcriptomes - Su, Cooke, et al.
2	2001a, ‘Cluster Validation by Prediction Strength’. Unpublished manuscript (http://www-stat.stanford.edu/~tibs/ftp/predstr.pdf). consensus4pdflatex.tex; 13/01/2003; 16:50; p.33 Stefano Monti et al - Tibshirani, Walther, et al.
2	Downing: 2002, ‘Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling’. Cancer Cell 1(2 - Yeoh, Ross, et al.