Analysis of normalization method for DNA microarray data

Author:

Baans Omar Salem1,Jambek Asral Bahari1,Mat Said Khairul Anuar1

Affiliation:

1. School of Microelectronic Engineering, Universiti Malaysia Perlis, Perlis, Malaysia

Abstract

Normalization is a process of removing systematic variation that affects measured gene expression levels in the microarray experiment. The purpose is to get more accurate DNA microarray result by deleting the systematic errors that may have occurred during the making of DNA microarray Image. In this paper, five normalization methods of Global, Lowess, House-keeping, Quantile and Print-tip are discussed. The Print Tip normalization was chosen for its high accuracy (32.89 dB and its final MA graph shape was well normalized. Print tip normalization with PSNR value of 33.15dB has been chosen as a new normalization method. The results were validated using four images from the formal database for DNA microarray data. The new proposed method showed more accurate results than the existing methods in term of four parameters: MSE, PSNR, RMSE and MAE.

Funder

Kementerian Sains, Teknologi dan Inovasi

Publisher

Malaysian Society for Molecular Biology and Biotechnology

Subject

Molecular Biology,Biotechnology

Reference17 articles.

1. Adriaens, M. E., Jaillard, M., Eijssen, L. M., Mayer, C. D., & Evelo, C.T., 2012. An evaluation of two-channel ChIP-on-chip and DNA methylation microarray normalization strategies. BMC Genomics 13 (1): 42

2. Baans, O., Jambek, A., Hashim, U., & Azah, N. 2016. Performance comparison of image normalization method for DNA microarray data. Pertanika Journal of Science & Technology 25: 59–68.

3. Babu, M. Madan. 2004. Introduction to microarray data analysis. Computational genomics: Theory and application: 225-249.

4. Berger, J. A., Hautaniemi, S., Järvinen, A. K., Edgren, H., Mitra, S. K., & Astola, J. 2004. Optimized LOWESS normalization parameter selection for DNA microarray data. BMC Bioinformatics 5(1): 194

5. Bilban, M., Buehler, L. K., Head, S., Desoye, G., & Quaranta, V. 2002. Normalizing DNA microarray data. Current Issues in Molecular Biology: 57-64.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3