Application of wavelet modulus maxima in microarray spots recognition

被引：30

作者：

Wang, XH ^{[1
]}

Istepanian, RSH

Song, YH

机构：

[1] Kingston Univ, Sch Comp & Informat Syst, Mobile Informat & Network Technol Ctr, Kingston upon Thames KT1 2EE, Surrey, England

[2] Brunel Univ, Dept Elect & Comp Engn, Uxbridge UB8 3PH, Middx, England

来源：

IEEE TRANSACTIONS ON NANOBIOSCIENCE | 2003年 / 2卷 / 04期

关键词：

wavelet analysis; microarray; images processing denoising;

D O I：

10.1109/TNB.2003.816230

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

This paper presents a novel approach to recognize the microarray image spots. The approach is based on the detection of wavelet modulus maxima in the microarray images. The detected maxima is actually the contour of the spots and thus the spots are recognized precisely. Then, the intensities within the contour of the spots can be obtained with low error rate. The test results on example image show this is an effective approach, especially for those spots with low intensities.

引用

页码：190 / 192

页数：3

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