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

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › peer review

8 Citaten (Scopus)

Samenvatting

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.

Originele taal-2	Engels
Titel	Proceedings - 2007 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2007
Pagina's	383-389
Aantal pagina's	7
DOI's	https://doi.org/10.1109/BIBM.2007.32
Status	Gepubliceerd - 2007
Extern gepubliceerd	Ja
Evenement	2007 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2007 - Fremont, CA, Verenigde Staten van Amerika Duur: 2 nov. 2007 → 4 nov. 2007

Publicatie series

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

Congres

Congres	2007 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2007
Land/Regio	Verenigde Staten van Amerika
Stad	Fremont, CA
Periode	2/11/07 → 4/11/07

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10.1109/BIBM.2007.32

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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 (blz. 383-389). Artikel 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, blz. 383-389, 2007 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2007, Fremont, CA, Verenigde Staten van Amerika, 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. blz. 383-389 4413081 (Proceedings - 2007 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2007).

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › 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.

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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. blz. 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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