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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… 
National Institutes of Health

Papers overview

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2020
2020
Background Soft tissue sarcomas (STSs) are heterogeneous at the clinical and molecular level and need to be further sub-clustered… 
2020
2020
Increasing evidence from structural and functional studies has indicated that protein disulphide isomerase (PDI) has a critical… 
2016
2016
Condorcet’s Jury Theorem has been invoked for ensemble classifiers to indicate that the combination of many classifiers can have… 
2015
2015
Hepatocellular carcinoma (HCC) and cholangiocarcinoma (CCA) represent two major histological cancer subtypes confined within the… 
2014
2014
Consensus clustering (CC) is an unsupervised class discovery method widely used to study sample heterogeneity in high-dimensional… 
2013
2013
Consensus clustering methods have been successfully used for combining multiple classifiers in many areas such as machine… 
2013
2013
The discovery of new subtypes of glioblastoma (Gb), grade IV glioma, based on high throughput molecular data, such as gene… 
2011
2011
Previous studies have been conducted in gene expression profiling to identify groups of genes that characterize the colorectal… 
2006
2006
Learning Object Repositories are increasingly being used in learning systems to provide high-quality, reusable educational…