Analysis of order preserving genes biclusters

Alain B. Tchagang; Ahmed H. Tewfik; Amy P.N. Skubitz

doi:10.1109/GENSIPS.2006.353176

Analysis of order preserving genes biclusters

Alain B. Tchagang
, Ahmed H. Tewfik
, Amy P.N. Skubitz

Laboratory Medicine and Pathology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

In this paper, we describe an approach for finding all order preserving genes biclusters from a set of DNA microarray experimental data that combines the algorithm that finds biclusters with constant values on columns developed in one of our previous study with an adaptive gene expression level quantization procedure. All the biclusters discovered with the proposed methodology have no imperfections and, the complexity of the algorithm is shown to be lower than that of previous approaches. Application of the method to ovarian cancer data seems to reveal significant local pattern.

Original language	English (US)
Title of host publication	2006 IEEE International Workshop on Genomic Signal Processing and Statstics, GENSIPS 2006
Pages	101-102
Number of pages	2
DOIs	https://doi.org/10.1109/GENSIPS.2006.353176
State	Published - 2006
Event	2006 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2006 - College Station, TX, United States Duration: May 28 2006 → May 30 2006

Publication series

Name	2006 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2006

Other

Other	2006 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2006
Country/Territory	United States
City	College Station, TX
Period	5/28/06 → 5/30/06

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1109/GENSIPS.2006.353176

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Analysis of order preserving genes biclusters. / Tchagang, Alain B.; Tewfik, Ahmed H.; Skubitz, Amy P.N.
2006 IEEE International Workshop on Genomic Signal Processing and Statstics, GENSIPS 2006. 2006. p. 101-102 4161797 (2006 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2006).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Tchagang, AB, Tewfik, AH & Skubitz, APN 2006, Analysis of order preserving genes biclusters. in 2006 IEEE International Workshop on Genomic Signal Processing and Statstics, GENSIPS 2006., 4161797, 2006 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2006, pp. 101-102, 2006 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2006, College Station, TX, United States, 5/28/06. https://doi.org/10.1109/GENSIPS.2006.353176

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title = "Analysis of order preserving genes biclusters",

abstract = "In this paper, we describe an approach for finding all order preserving genes biclusters from a set of DNA microarray experimental data that combines the algorithm that finds biclusters with constant values on columns developed in one of our previous study with an adaptive gene expression level quantization procedure. All the biclusters discovered with the proposed methodology have no imperfections and, the complexity of the algorithm is shown to be lower than that of previous approaches. Application of the method to ovarian cancer data seems to reveal significant local pattern.",

author = "Tchagang, \{Alain B.\} and Tewfik, \{Ahmed H.\} and Skubitz, \{Amy P.N.\}",

year = "2006",

doi = "10.1109/GENSIPS.2006.353176",

language = "English (US)",

isbn = "1424403855",

series = "2006 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2006",

pages = "101--102",

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note = "2006 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2006 ; Conference date: 28-05-2006 Through 30-05-2006",

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AU - Tchagang, Alain B.

AU - Tewfik, Ahmed H.

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N2 - In this paper, we describe an approach for finding all order preserving genes biclusters from a set of DNA microarray experimental data that combines the algorithm that finds biclusters with constant values on columns developed in one of our previous study with an adaptive gene expression level quantization procedure. All the biclusters discovered with the proposed methodology have no imperfections and, the complexity of the algorithm is shown to be lower than that of previous approaches. Application of the method to ovarian cancer data seems to reveal significant local pattern.

AB - In this paper, we describe an approach for finding all order preserving genes biclusters from a set of DNA microarray experimental data that combines the algorithm that finds biclusters with constant values on columns developed in one of our previous study with an adaptive gene expression level quantization procedure. All the biclusters discovered with the proposed methodology have no imperfections and, the complexity of the algorithm is shown to be lower than that of previous approaches. Application of the method to ovarian cancer data seems to reveal significant local pattern.

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DO - 10.1109/GENSIPS.2006.353176

M3 - Conference contribution

AN - SCOPUS:48649091608

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T3 - 2006 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2006

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BT - 2006 IEEE International Workshop on Genomic Signal Processing and Statstics, GENSIPS 2006

T2 - 2006 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2006

Y2 - 28 May 2006 through 30 May 2006

ER -

Analysis of order preserving genes biclusters

Abstract

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