Efficiency of hybrid normalization of microarray gene expression: A simulation study

Mehdi Pirooznia, Youping Deng

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

Abstract

Microarray experiment's data contain errors, from various sources. The process of identifying and adjusting of systematic variation in intensities between samples on the same slide is known as normalization. We implemented a java application with graphical user interface that allows easy evaluation of errors and the role of hybrid normalization methods to remove the systematic errors from the experiment's data. We calculated true hybridization intensity then applied different additive and multiplicative errors and computed the normalized intensity logged ratio using background subtraction, self-normalization method and dye-flip technique. Results show the efficiency of hybrid normalization method in order to remove error rates from the intensity values.

Original languageEnglish (US)
Title of host publicationProceedings - 21st International Conference on Advanced Information Networking and Applications Workshops/Symposia, AINAW'07
Pages739-744
Number of pages6
Volume2
DOIs
StatePublished - 2007
Externally publishedYes
Event21st International Conference on Advanced Information Networking and ApplicationsWorkshops/Symposia, AINAW'07 - Niagara Falls, ON, Canada
Duration: May 21 2007May 23 2007

Other

Other21st International Conference on Advanced Information Networking and ApplicationsWorkshops/Symposia, AINAW'07
CountryCanada
CityNiagara Falls, ON
Period5/21/075/23/07

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software
  • Mathematics(all)

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    Pirooznia, M., & Deng, Y. (2007). Efficiency of hybrid normalization of microarray gene expression: A simulation study. In Proceedings - 21st International Conference on Advanced Information Networking and Applications Workshops/Symposia, AINAW'07 (Vol. 2, pp. 739-744). [4221146] https://doi.org/10.1109/AINAW.2007.164