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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…
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National Institutes of Health
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Papers overview
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2020
2020
Integrative Clustering Reveals a Novel Subtype of Soft Tissue Sarcoma With Poor Prognosis
Zhenhua Zhu
,
Zheng Jin
,
Haibo Zhang
,
Mei Zhang
,
Dahui Sun
Frontiers in Genetics
2020
Corpus ID: 211133556
Background Soft tissue sarcomas (STSs) are heterogeneous at the clinical and molecular level and need to be further sub-clustered…
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2020
2020
Protein disulphide isomerase can predict the clinical prognostic value and contribute to malignant progression in gliomas
Qing Hu
,
Kai Huang
,
C. Tao
,
Xin-gen Zhu
Journal of Cellular and Molecular Medicine
2020
Corpus ID: 215802468
Increasing evidence from structural and functional studies has indicated that protein disulphide isomerase (PDI) has a critical…
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2016
2016
Condorcet's Jury Theorem for Consensus Clustering
Brijnesh J. Jain
Deutsche Jahrestagung für Künstliche Intelligenz
2016
Corpus ID: 13634261
Condorcet’s Jury Theorem has been invoked for ensemble classifiers to indicate that the combination of many classifiers can have…
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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
Jittiporn Chaisaingmongkol
,
A. Budhu
,
+23 authors
X. Wang
2015
Corpus ID: 77710031
Hepatocellular carcinoma (HCC) and cholangiocarcinoma (CCA) represent two major histological cancer subtypes confined within the…
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2014
2014
A reassessment of consensus clustering for class discovery
Y. Şenbabaoğlu
,
G. Michailidis
,
Jun Z. Li
bioRxiv
2014
Corpus ID: 85582015
Consensus clustering (CC) is an unsupervised class discovery method widely used to study sample heterogeneity in high-dimensional…
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2013
2013
Graph‐Based Consensus Clustering for Combining Multiple Clusterings of Chemical Structures
Faisal Saeed
,
N. Salim
,
Ammar Abdo
,
Hamza Hentabli
Molecular Informatics
2013
Corpus ID: 30503828
Consensus clustering methods have been successfully used for combining multiple classifiers in many areas such as machine…
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2013
2013
Integration of high throughput data to detect groups of glioblastoma multiforme
X. Domingo
2013
Corpus ID: 60817552
The discovery of new subtypes of glioblastoma (Gb), grade IV glioma, based on high throughput molecular data, such as gene…
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2011
2011
Robust consensus clustering for identification of expressed genes linked to malignancy of human colorectal carcinoma
G. Wahyudi
,
Ito Wasito
,
T. Melia
,
I. Budi
Bioinformation
2011
Corpus ID: 18184899
Previous studies have been conducted in gene expression profiling to identify groups of genes that characterize the colorectal…
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2011
2011
Re: Molecular stratification of clear cell renal cell carcinoma by consensus clustering reveals distinct subtypes and survival patterns.
S. Taneja
Journal of Urology
2011
Corpus ID: 38795234
2006
2006
Clustering Learning Objects Collections Using Cluster Ensembles
H. Ayad
,
M. Kamel
2006
Corpus ID: 14875249
Learning Object Repositories are increasingly being used in learning systems to provide high-quality, reusable educational…
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