Missing Value Estimation in Microarray Data Using Fuzzy Clustering and Semantic Similarity

Dr. Mohammed Mehdi Pourhashem; Manouchehr Kelarestaghi

Missing Value Estimation in Microarray Data Using Fuzzy Clustering and Semantic Similarity

Dr. Mohammed Mehdi Pourhashem * §

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Manouchehr Kelarestaghi

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§ Islamic Azad University-Arak Branch

Missing Value Estimation in Microarray Data Using Fuzzy Clustering and Semantic Similarity

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Abstract

Gene expression profiling plays an important role in a broad range of areas in biology. Microarray data often contains multiple missing expression values, which can significantly affect subsequent analysis In this paper, a new method based on fuzzy clustering and genes semantic similarity is proposed to estimate missing values in microarray data. In the proposed method, microarray data are clustered based on genes semantic similarity and their expression values and missing values are imputed with values generated from cluster centers Genes similarity in clustering process determine with their semantic similarity obtained from gene ontology as well as their expression values. The experimental results indicate that the proposed method outperforms other methods in terms of Root Mean Square error.

References

13 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. Mohammed Mehdi Pourhashem, Manouchehr Kelarestaghi. 1970. "Missing Value Estimation in Microarray Data Using Fuzzy Clustering and Semantic Similarity". Global Journal of Computer Science and Technology GJCST Volume 10 (GJCST Volume 10 Issue 12).

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GJCST Volume 10 Issue 12

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Submission ReceivedFebruary 12, 2010
Peer Review Double Blind
Handling Editor
Accepted March 3, 2010
Published March 15, 2010

Version of record

v1.2

Issue date

October 11, 2010

Language

English

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Article Matrices

Total Score: 128

Country: Iran

Subject: Global Journal of Computer Science and Technology

Authors: Dr. Mohammed Mehdi Pourhashem, Manouchehr Kelarestaghi, Mir Mohsen Pedram (PhD/Dr. count: 1)

View Count (all-time): 151

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Publish Date: 2010 03, Mon

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Total Views: 5.1K

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