Grayscale Morphological Analysis Of DNA Microarray For Spot Classification

Grayscale Morphological Analysis Of DNA Microarray For Spot Classification

DNA microarray image analysis is an important topic from the point of view of bioinformatics. A microarray consisting of several spots with varied gene expression levels is a grey level image. This study provides a simple framework to classify microarray spots based upon their gene expression levels...

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Main Author: Latha, Behara
Format: Thesis
Published: 2004
Subjects:
QP Physiology
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spelling my-mmu-ep.8042010-07-02T03:56:03Z Grayscale Morphological Analysis Of DNA Microarray For Spot Classification 2004-11 Latha, Behara QP Physiology DNA microarray image analysis is an important topic from the point of view of bioinformatics. A microarray consisting of several spots with varied gene expression levels is a grey level image. This study provides a simple framework to classify microarray spots based upon their gene expression levels. This work demonstrates possibility to unravel topological characteristics of microarrays using powerful computers and established tools like mathematical morphology. These characteristics provide new insights in understanding microbiological phenomena in a quantitative manner. In this study we provide a simple but elegant framework, based on mathematical morphology, to unravel various morphological characteristics of microarray spots. 2004-11 Thesis http://shdl.mmu.edu.my/804/ http://myto.perpun.net.my/metoalogin/logina.php masters Multimedia University Research Library
institution Multimedia University
collection MMU Institutional Repository
topic QP Physiology
spellingShingle QP Physiology
Latha, Behara
Grayscale Morphological Analysis Of DNA Microarray For Spot Classification
description DNA microarray image analysis is an important topic from the point of view of bioinformatics. A microarray consisting of several spots with varied gene expression levels is a grey level image. This study provides a simple framework to classify microarray spots based upon their gene expression levels. This work demonstrates possibility to unravel topological characteristics of microarrays using powerful computers and established tools like mathematical morphology. These characteristics provide new insights in understanding microbiological phenomena in a quantitative manner. In this study we provide a simple but elegant framework, based on mathematical morphology, to unravel various morphological characteristics of microarray spots.
format Thesis
qualification_level Master's degree
author Latha, Behara
author_facet Latha, Behara
author_sort Latha, Behara
title Grayscale Morphological Analysis Of DNA Microarray For Spot Classification
title_short Grayscale Morphological Analysis Of DNA Microarray For Spot Classification
title_full Grayscale Morphological Analysis Of DNA Microarray For Spot Classification
title_fullStr Grayscale Morphological Analysis Of DNA Microarray For Spot Classification
title_full_unstemmed Grayscale Morphological Analysis Of DNA Microarray For Spot Classification
title_sort grayscale morphological analysis of dna microarray for spot classification
granting_institution Multimedia University
granting_department Research Library
publishDate 2004
_version_ 1747829220412751872

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