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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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2018
2018
MP47-01 PAIN PROFILE DISCOVERY IN UROLOGIC CHRONIC PELVIC PAIN SYNDROME (UCPPS): CONSENSUS CLUSTERING FINDINGS FROM THE MAPP RESEARCH NETWORK
INTRODUCTION AND OBJECTIVES: Defining clinically relevant patient phenotypes with differential outcomes is essential for… 
2017
2017
Detecting heterogeneity in single-cell RNA-Seq 1 data by non-negative matrix factorization 2 3
21 Single-cell RNA-Sequencing (scRNA-Seq) is a cutting edge technology that enables the 22 understanding of biological processes… 
2016
2016
Clusters and Prognostic Signatures Specific for Lung Cancer
Introduction: Radiomics quantifies tumor phenotypes by extracting a large number of quantitative image features. The large number… 
2015
2015
Abstract LB-173: The Thailand initiative in genomics and expression research for liver cancer (TIGER-LC): Defining novel subtypes of hepatocellular carcinoma and cholangiocarcinoma
Hepatocellular carcinoma (HCC) and cholangiocarcinoma (CCA) represent two major histological cancer subtypes confined within the… 
2015
2015
Cluster Ensembles for Big Data Mining Problems
Mining big data involves several problems and new challenges [8], in addition to the huge volume of information. One the one hand… 
2014
2014
A reassessment of consensus clustering for class discovery
Consensus clustering (CC) is an unsupervised class discovery method widely used to study sample heterogeneity in high-dimensional… 
2013
2013
Integration of high throughput data to detect groups of glioblastoma multiforme
The discovery of new subtypes of glioblastoma (Gb), grade IV glioma, based on high throughput molecular data, such as gene… 
Review
2013
Review
2013
issecting cancer heterogeneity – An unsupervised classification pproach in Wanga
  • 2013
  • Corpus ID: 42026156
Gene-expression-based classification studies have changed the way cancer is traditionally perceived. It is becoming increasingly… 
2007
2007
Using Cluster Analysis, Cluster Validation, and Consensus Clustering to Identify Subtypes of Pervasive Developmental Disorders
Pervasive Developmental Disorders (PDDs) are neurodevelopmental disorders characterized by impairments in social interaction… 
2006
2006
Clustering Learning Objects Collections Using Cluster Ensembles
Learning Object Repositories are increasingly being used in learning systems to provide high-quality, reusable educational… 
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