A new smoothing model for analyzing array CGH data

Nha Nguyen; Heng Huang; Soontorn Oraintara; An Vo

doi:10.1109/BIBE.2007.4375683

A new smoothing model for analyzing array CGH data

Nha Nguyen
, Heng Huang
, Soontorn Oraintara
, An Vo

University of Texas at Arlington College of Engineering

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

3 Citations (Scopus)

Abstract

Array based Comparative Genomic Hybridization (CGH) is a molecular cytogenetic method for the detection of chromosomal imbalances and it has been extensively used for studying copy number alterations in various cancer types. Our method captures both the intrinsic spatial change of genome hybridization intensities, and the physical distance between adjacent probes along a chromosome which are not uniform. In this paper, we introduce a dual-tree complex wavelet transform method with the bivariate shrinkage estimator into array CGH data smoothing study. We tested the proposed method on both simulated data and real data, and the results demonstrated superior performance of our method in comparison with extant methods.

Original language	English
Title of host publication	Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE
Pages	1027-1034
Number of pages	8
DOIs	https://doi.org/10.1109/BIBE.2007.4375683
Publication status	Published - 2007
Externally published	Yes
Event	7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE - Boston, MA, United States Duration: 14 Jan 2007 → 17 Jan 2007

Publication series

Name	Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE

Conference

Conference	7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE
Country/Territory	United States
City	Boston, MA
Period	14/01/07 → 17/01/07

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/BIBE.2007.4375683

Cite this

Nguyen, N., Huang, H., Oraintara, S., & Vo, A. (2007). A new smoothing model for analyzing array CGH data. In Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE (pp. 1027-1034). Article 4375683 (Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE). https://doi.org/10.1109/BIBE.2007.4375683

@inproceedings{e7364f529fda44c5b59fa66972709858,

title = "A new smoothing model for analyzing array CGH data",

abstract = "Array based Comparative Genomic Hybridization (CGH) is a molecular cytogenetic method for the detection of chromosomal imbalances and it has been extensively used for studying copy number alterations in various cancer types. Our method captures both the intrinsic spatial change of genome hybridization intensities, and the physical distance between adjacent probes along a chromosome which are not uniform. In this paper, we introduce a dual-tree complex wavelet transform method with the bivariate shrinkage estimator into array CGH data smoothing study. We tested the proposed method on both simulated data and real data, and the results demonstrated superior performance of our method in comparison with extant methods.",

author = "Nha Nguyen and Heng Huang and Soontorn Oraintara and An Vo",

year = "2007",

doi = "10.1109/BIBE.2007.4375683",

language = "English",

isbn = "1424415098",

series = "Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE",

pages = "1027--1034",

booktitle = "Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE",

note = "7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE ; Conference date: 14-01-2007 Through 17-01-2007",

}

Nguyen, N, Huang, H, Oraintara, S & Vo, A 2007, A new smoothing model for analyzing array CGH data. in Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE., 4375683, Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE, pp. 1027-1034, 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE, Boston, MA, United States, 14/01/07. https://doi.org/10.1109/BIBE.2007.4375683

A new smoothing model for analyzing array CGH data. / Nguyen, Nha; Huang, Heng; Oraintara, Soontorn et al.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE. 2007. p. 1027-1034 4375683 (Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE).

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

TY - GEN

T1 - A new smoothing model for analyzing array CGH data

AU - Nguyen, Nha

AU - Huang, Heng

AU - Oraintara, Soontorn

AU - Vo, An

PY - 2007

Y1 - 2007

N2 - Array based Comparative Genomic Hybridization (CGH) is a molecular cytogenetic method for the detection of chromosomal imbalances and it has been extensively used for studying copy number alterations in various cancer types. Our method captures both the intrinsic spatial change of genome hybridization intensities, and the physical distance between adjacent probes along a chromosome which are not uniform. In this paper, we introduce a dual-tree complex wavelet transform method with the bivariate shrinkage estimator into array CGH data smoothing study. We tested the proposed method on both simulated data and real data, and the results demonstrated superior performance of our method in comparison with extant methods.

AB - Array based Comparative Genomic Hybridization (CGH) is a molecular cytogenetic method for the detection of chromosomal imbalances and it has been extensively used for studying copy number alterations in various cancer types. Our method captures both the intrinsic spatial change of genome hybridization intensities, and the physical distance between adjacent probes along a chromosome which are not uniform. In this paper, we introduce a dual-tree complex wavelet transform method with the bivariate shrinkage estimator into array CGH data smoothing study. We tested the proposed method on both simulated data and real data, and the results demonstrated superior performance of our method in comparison with extant methods.

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U2 - 10.1109/BIBE.2007.4375683

DO - 10.1109/BIBE.2007.4375683

M3 - Conference contribution

AN - SCOPUS:47649085911

SN - 1424415098

SN - 9781424415090

T3 - Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE

SP - 1027

EP - 1034

BT - Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE

T2 - 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE

Y2 - 14 January 2007 through 17 January 2007

ER -

A new smoothing model for analyzing array CGH data

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