Consensus Clustering

Known as: Consensus Clustering Analysis 
A method to represent the consensus across multiple runs of a clustering algorithm, to determine the number of clusters in the data, and to assess… (More)
National Institutes of Health

Topic mentions per year

Topic mentions per year

1991-2017
010203019912017

Papers overview

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2017
2017
Single-cell RNA-seq enables the quantitative characterization of cell types based on global transcriptome profiles. We present… (More)
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2014
2014
Consensus clustering (CC) has been adopted for unsupervised class discovery in many genomic studies. It calculates how frequently… (More)
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2013
2013
MOTIVATION In biomedical research a growing number of platforms and technologies are used to measure diverse but related… (More)
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Highly Cited
2012
Highly Cited
2012
The community structure of complex networks reveals both their organization and hidden relationships among their constituents… (More)
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Highly Cited
2010
Highly Cited
2010
Clear cell renal cell carcinoma (ccRCC) is the predominant RCC subtype, but even within this classification, the natural history… (More)
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2010
2010
One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to… (More)
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Highly Cited
2008
Highly Cited
2008
Over the past few years, there has been a renewed interest in the consensus clustering problem. Several new methods have been… (More)
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Highly Cited
2007
Highly Cited
2007
MOTIVATION Consensus clustering, also known as cluster ensemble, is one of the important techniques for microarray data analysis… (More)
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Highly Cited
2007
Highly Cited
2007
MOTIVATION Protein-Protein Interaction (PPI) networks are believed to be important sources of information related to biological… (More)
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2007
2007
MOTIVATION Reliable identification of protein families is key to phylogenetic analysis, functional annotation and the exploration… (More)
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