A distortion metric for the lossy compression of DNA microarray images

Miguel Hernández-Cabronero, Victor Sanchez, Michael W Marcellin, Joan Serra-Sagristà

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

DNA microarrays are state-of-the-art tools in biological and medical research. In this work, we discuss the suitability of lossy compression for DNA microarray images and highlight the necessity for a distortion metric to assess the loss of relevant information. We also propose one possible metric that considers the basic image features employed by most DNA microarray analysis techniques. Experimental results indicate that the proposed metric can identify and differentiate important and unimportant changes in DNA microarray images.

Original languageEnglish (US)
Title of host publicationData Compression Conference Proceedings
Pages171-180
Number of pages10
DOIs
StatePublished - 2013
Event2013 Data Compression Conference, DCC 2013 - Snowbird, UT, United States
Duration: Mar 20 2013Mar 22 2013

Other

Other2013 Data Compression Conference, DCC 2013
CountryUnited States
CitySnowbird, UT
Period3/20/133/22/13

Fingerprint

Microarrays
DNA

ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

Hernández-Cabronero, M., Sanchez, V., Marcellin, M. W., & Serra-Sagristà, J. (2013). A distortion metric for the lossy compression of DNA microarray images. In Data Compression Conference Proceedings (pp. 171-180). [6543053] https://doi.org/10.1109/DCC.2013.26

A distortion metric for the lossy compression of DNA microarray images. / Hernández-Cabronero, Miguel; Sanchez, Victor; Marcellin, Michael W; Serra-Sagristà, Joan.

Data Compression Conference Proceedings. 2013. p. 171-180 6543053.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hernández-Cabronero, M, Sanchez, V, Marcellin, MW & Serra-Sagristà, J 2013, A distortion metric for the lossy compression of DNA microarray images. in Data Compression Conference Proceedings., 6543053, pp. 171-180, 2013 Data Compression Conference, DCC 2013, Snowbird, UT, United States, 3/20/13. https://doi.org/10.1109/DCC.2013.26
Hernández-Cabronero M, Sanchez V, Marcellin MW, Serra-Sagristà J. A distortion metric for the lossy compression of DNA microarray images. In Data Compression Conference Proceedings. 2013. p. 171-180. 6543053 https://doi.org/10.1109/DCC.2013.26
Hernández-Cabronero, Miguel ; Sanchez, Victor ; Marcellin, Michael W ; Serra-Sagristà, Joan. / A distortion metric for the lossy compression of DNA microarray images. Data Compression Conference Proceedings. 2013. pp. 171-180
@inproceedings{9eede45b5e344e9bbc4529f85a254b7a,
title = "A distortion metric for the lossy compression of DNA microarray images",
abstract = "DNA microarrays are state-of-the-art tools in biological and medical research. In this work, we discuss the suitability of lossy compression for DNA microarray images and highlight the necessity for a distortion metric to assess the loss of relevant information. We also propose one possible metric that considers the basic image features employed by most DNA microarray analysis techniques. Experimental results indicate that the proposed metric can identify and differentiate important and unimportant changes in DNA microarray images.",
author = "Miguel Hern{\'a}ndez-Cabronero and Victor Sanchez and Marcellin, {Michael W} and Joan Serra-Sagrist{\`a}",
year = "2013",
doi = "10.1109/DCC.2013.26",
language = "English (US)",
isbn = "9780769549651",
pages = "171--180",
booktitle = "Data Compression Conference Proceedings",

}

TY - GEN

T1 - A distortion metric for the lossy compression of DNA microarray images

AU - Hernández-Cabronero, Miguel

AU - Sanchez, Victor

AU - Marcellin, Michael W

AU - Serra-Sagristà, Joan

PY - 2013

Y1 - 2013

N2 - DNA microarrays are state-of-the-art tools in biological and medical research. In this work, we discuss the suitability of lossy compression for DNA microarray images and highlight the necessity for a distortion metric to assess the loss of relevant information. We also propose one possible metric that considers the basic image features employed by most DNA microarray analysis techniques. Experimental results indicate that the proposed metric can identify and differentiate important and unimportant changes in DNA microarray images.

AB - DNA microarrays are state-of-the-art tools in biological and medical research. In this work, we discuss the suitability of lossy compression for DNA microarray images and highlight the necessity for a distortion metric to assess the loss of relevant information. We also propose one possible metric that considers the basic image features employed by most DNA microarray analysis techniques. Experimental results indicate that the proposed metric can identify and differentiate important and unimportant changes in DNA microarray images.

UR - http://www.scopus.com/inward/record.url?scp=84881050891&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84881050891&partnerID=8YFLogxK

U2 - 10.1109/DCC.2013.26

DO - 10.1109/DCC.2013.26

M3 - Conference contribution

AN - SCOPUS:84881050891

SN - 9780769549651

SP - 171

EP - 180

BT - Data Compression Conference Proceedings

ER -