Bayesian Hierarchical Clustering for Studying Cancer Gene Expression Data with Unknown Statistics

Open Access

Peer-reviewed

Research Article

Korsuk Sirinukunwattana,

Affiliation Department of Computer Science, The University of Warwick, Coventry, United Kingdom
⨯
Richard S. Savage,

Affiliation Warwick Systems Biology Centre, The University of Warwick, Coventry, United Kingdom
⨯
Muhammad F. Bari,

Affiliations Department of Pathology, University Hospitals Coventry & Warwickshire, Coventry, United Kingdom, Divisions of Reproduction and Metabolic & Vascular Health, Warwick Medical School, Coventry, United Kingdom
⨯
David R. J. Snead,

Affiliations Department of Pathology, University Hospitals Coventry & Warwickshire, Coventry, United Kingdom, Divisions of Reproduction and Metabolic & Vascular Health, Warwick Medical School, Coventry, United Kingdom
⨯
Nasir M. Rajpoot

* E-mail: N.M.Rajpoot@warwick.ac.uk

Affiliations Department of Computer Science, The University of Warwick, Coventry, United Kingdom, Department of Computer Science and Engineering, Qatar University, Doha, Qatar
⨯

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Gene expression
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Clustering algorithms
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Optimization
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Colorectal cancer
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Hierarchical clustering
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Probability distribution
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Prostate cancer
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Algorithms
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