A Hybrid Distance Measure for Clustering Expressed Sequence Tags Originating from the Same Gene Family

Keng-Hoong Ng; Chin-Kuan Ho; Somnuk Phon-Amnuaisuk

doi:10.1371/journal.pone.0047216

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Open Access

Peer-reviewed

Research Article

A Hybrid Distance Measure for Clustering Expressed Sequence Tags Originating from the Same Gene Family

Keng-Hoong Ng ,

* E-mail: khng@mmu.edu.my

Affiliation Faculty of Computing and Informatics, Multimedia University, Cyberjaya, Malaysia
⨯
Chin-Kuan Ho,

Affiliation Faculty of Computing and Informatics, Multimedia University, Cyberjaya, Malaysia
⨯
Somnuk Phon-Amnuaisuk

Affiliation Faculty of Creative Industries, Universiti Tunku Abdul Rahman, Petaling Jaya, Malaysia
⨯

A Hybrid Distance Measure for Clustering Expressed Sequence Tags Originating from the Same Gene Family

Keng-Hoong Ng,
Chin-Kuan Ho,
Somnuk Phon-Amnuaisuk

Published: October 11, 2012
https://doi.org/10.1371/journal.pone.0047216

About the Authors

Keng-Hoong Ng

* E-mail: khng@mmu.edu.my

Affiliation Faculty of Computing and Informatics, Multimedia University, Cyberjaya, Malaysia

Chin-Kuan Ho

Affiliation Faculty of Computing and Informatics, Multimedia University, Cyberjaya, Malaysia

Somnuk Phon-Amnuaisuk

Affiliation Faculty of Creative Industries, Universiti Tunku Abdul Rahman, Petaling Jaya, Malaysia

Competing Interests

The authors have declared that no competing interests exist.

Author Contributions

Conceived and designed the experiments: KHN CKH SPA. Performed the experiments: KHN. Analyzed the data: KHN SPA CKH. Contributed reagents/materials/analysis tools: KHN. Wrote the paper: KHN SPA CKH.

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Expressed sequence tags
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Distance measurement
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Sequence alignment
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Human genomics
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Clustering algorithms
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Hierarchical clustering
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Genomics
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Algorithms
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