ConsensusClusterPlus: A class discovery tool with confidence assessments and item tracking

Bioinformatics

Volumn 26, Issue 12, 2010, Pages 1572-1573

  Wilkerson, Matthew D ^a   Hayes, D Neil ^a  

^a UNIVERSITY OF NORTH CAROLINA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; CLUSTER ANALYSIS; COMPUTER PROGRAM; DATA MINING; GENE EXPRESSION PROFILING; METHODOLOGY; PRINCIPAL COMPONENT ANALYSIS;

ALGORITHMS; CLUSTER ANALYSIS; DATA MINING; GENE EXPRESSION PROFILING; PRINCIPAL COMPONENT ANALYSIS; SOFTWARE;

EID: 77954182362     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btq170     Document Type: Article

References (5)

1. Garber, M.E. et al. (2001) Diversity of gene expression in adenocarcinoma of the lung. Proc. Natl Acad. Sci. USA, 98, 13784-13789.
2. Hayes, D.N. et al. (2006) Gene expression profiling reveals reproducible human lung adenocarcinoma subtypes in multiple independent patient cohorts. J. Clin. Oncol., 24, 5079-5090.
3. Hoffmann, M. et al. (2007) Optimized alignment and visualization of clustering results. In Decker, R. and Lenz, H.-J. (eds), Advances in Data Analysis. Springer, Berlin Heidelberg, pp. 75-82.
4. Monti, S. et al. (2003) Consensus clustering: a resampling-based method for class discovery and visualization of gene expression microarray data. Mach. Learn., 52, 91-118.
5. Reich, M. et al. (2006) GenePattern 2.0. Nat. Genet., 38, 500-501.