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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| Format: | Thesis |
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2004
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| Online Access: | http://shdl.mmu.edu.my/804/ |
| _version_ | 1848789606329221120 |
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| author | Latha, Behara |
| author_facet | Latha, Behara |
| author_sort | Latha, Behara |
| building | MMU Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T17:59:23Z |
| format | Thesis |
| id | mmu-804 |
| institution | Multimedia University |
| institution_category | Local University |
| last_indexed | 2025-11-14T17:59:23Z |
| publishDate | 2004 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-8042010-07-02T03:56:03Z http://shdl.mmu.edu.my/804/ Grayscale Morphological Analysis Of DNA Microarray For Spot Classification 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 NonPeerReviewed Latha, Behara (2004) Grayscale Morphological Analysis Of DNA Microarray For Spot Classification. Masters thesis, Multimedia University. http://myto.perpun.net.my/metoalogin/logina.php |
| spellingShingle | QP Physiology Latha, Behara Grayscale Morphological Analysis Of DNA Microarray For Spot Classification |
| title | 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_short | Grayscale Morphological Analysis Of DNA Microarray For Spot Classification |
| title_sort | grayscale morphological analysis of dna microarray for spot classification |
| topic | QP Physiology |
| url | http://shdl.mmu.edu.my/804/ http://shdl.mmu.edu.my/804/ |