Microarray image denoising using a two-stage multiresolution technique

Hara Stefanou; Thanasis Margaritis; Dimitris Kafetzopoulos; Konstantinos Marias; Panagiotis Tsakalides

doi:10.1109/BIBM.2007.32

Microarray image denoising using a two-stage multiresolution technique

Hara Stefanou
, Thanasis Margaritis
, Dimitris Kafetzopoulos
, Konstantinos Marias
, Panagiotis Tsakalides

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

8 Citations (Scopus)

Abstract

DNA microarrays have demonstrated an excellent potential in correlating specific gene expression profiles to specific conditions. However, they are affected by inherent noise. This paper presents a two-stage approach for noise removal that processes the additive and the multiplicative noise component. The proposed approach first decomposes the signal by a multiresolution transform and then accounts for both the multiscale correlation of the subband decompositions and their heavy-tailed statistics. Real microarray images have been processed by the proposed method and its improved performance is shown through quantitative measures and qualitative visual evaluation.

Original language	English
Title of host publication	Proceedings - 2007 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2007
Pages	383-389
Number of pages	7
DOIs	https://doi.org/10.1109/BIBM.2007.32
Publication status	Published - 2007
Externally published	Yes
Event	2007 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2007 - Fremont, CA, United States Duration: 2 Nov 2007 → 4 Nov 2007

Publication series

Name	Proceedings - 2007 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2007

Conference

Conference	2007 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2007
Country/Territory	United States
City	Fremont, CA
Period	2/11/07 → 4/11/07

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10.1109/BIBM.2007.32

Cite this

Stefanou, H., Margaritis, T., Kafetzopoulos, D., Marias, K., & Tsakalides, P. (2007). Microarray image denoising using a two-stage multiresolution technique. In Proceedings - 2007 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2007 (pp. 383-389). Article 4413081 (Proceedings - 2007 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2007). https://doi.org/10.1109/BIBM.2007.32

@inproceedings{a42ee67438774dbaa3342c56320e98b5,

title = "Microarray image denoising using a two-stage multiresolution technique",

abstract = "DNA microarrays have demonstrated an excellent potential in correlating specific gene expression profiles to specific conditions. However, they are affected by inherent noise. This paper presents a two-stage approach for noise removal that processes the additive and the multiplicative noise component. The proposed approach first decomposes the signal by a multiresolution transform and then accounts for both the multiscale correlation of the subband decompositions and their heavy-tailed statistics. Real microarray images have been processed by the proposed method and its improved performance is shown through quantitative measures and qualitative visual evaluation.",

author = "Hara Stefanou and Thanasis Margaritis and Dimitris Kafetzopoulos and Konstantinos Marias and Panagiotis Tsakalides",

year = "2007",

doi = "10.1109/BIBM.2007.32",

language = "English",

isbn = "0769530311",

series = "Proceedings - 2007 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2007",

pages = "383--389",

booktitle = "Proceedings - 2007 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2007",

note = "2007 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2007 ; Conference date: 02-11-2007 Through 04-11-2007",

}

Stefanou, H, Margaritis, T, Kafetzopoulos, D, Marias, K & Tsakalides, P 2007, Microarray image denoising using a two-stage multiresolution technique. in Proceedings - 2007 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2007., 4413081, Proceedings - 2007 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2007, pp. 383-389, 2007 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2007, Fremont, CA, United States, 2/11/07. https://doi.org/10.1109/BIBM.2007.32

Microarray image denoising using a two-stage multiresolution technique. / Stefanou, Hara; Margaritis, Thanasis; Kafetzopoulos, Dimitris et al.
Proceedings - 2007 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2007. 2007. p. 383-389 4413081 (Proceedings - 2007 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2007).

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

TY - GEN

T1 - Microarray image denoising using a two-stage multiresolution technique

AU - Stefanou, Hara

AU - Margaritis, Thanasis

AU - Kafetzopoulos, Dimitris

AU - Marias, Konstantinos

AU - Tsakalides, Panagiotis

PY - 2007

Y1 - 2007

N2 - DNA microarrays have demonstrated an excellent potential in correlating specific gene expression profiles to specific conditions. However, they are affected by inherent noise. This paper presents a two-stage approach for noise removal that processes the additive and the multiplicative noise component. The proposed approach first decomposes the signal by a multiresolution transform and then accounts for both the multiscale correlation of the subband decompositions and their heavy-tailed statistics. Real microarray images have been processed by the proposed method and its improved performance is shown through quantitative measures and qualitative visual evaluation.

AB - DNA microarrays have demonstrated an excellent potential in correlating specific gene expression profiles to specific conditions. However, they are affected by inherent noise. This paper presents a two-stage approach for noise removal that processes the additive and the multiplicative noise component. The proposed approach first decomposes the signal by a multiresolution transform and then accounts for both the multiscale correlation of the subband decompositions and their heavy-tailed statistics. Real microarray images have been processed by the proposed method and its improved performance is shown through quantitative measures and qualitative visual evaluation.

UR - https://www.scopus.com/pages/publications/49049096679

U2 - 10.1109/BIBM.2007.32

DO - 10.1109/BIBM.2007.32

M3 - Conference contribution

AN - SCOPUS:49049096679

SN - 0769530311

SN - 9780769530314

T3 - Proceedings - 2007 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2007

SP - 383

EP - 389

BT - Proceedings - 2007 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2007

T2 - 2007 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2007

Y2 - 2 November 2007 through 4 November 2007

ER -

Stefanou H, Margaritis T, Kafetzopoulos D, Marias K, Tsakalides P. Microarray image denoising using a two-stage multiresolution technique. In Proceedings - 2007 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2007. 2007. p. 383-389. 4413081. (Proceedings - 2007 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2007). doi: 10.1109/BIBM.2007.32

Microarray image denoising using a two-stage multiresolution technique

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