The image processing methodologies that have been actively studied and developed
now play a very significant role in the flourishing biotechnology research. This work
studies, develops and implements several image processing techniques for M-FISH and
cDNA microarray images. In particular, we focus on three important areas: M-FISH
image compression, microarray image processing and expression-based classification.
Two schemes, embedded M-FISH image coding (EMIC) and Microarray BASICA:
Background Adjustment, Segmentation, Image Compression and Analysis, have been
introduced for M-FISH image compression and microarray image processing, respectively.
In the expression-based classification area, we investigate the relationship
between optimal number of features and sample size, either analytically or through
simulation, for various classifiers.
| Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/3244 |
| Date | 12 April 2006 |
| Creators | Hua, Jianping |
| Contributors | Xiong, Zixiang |
| Publisher | Texas A&M University |
| Source Sets | Texas A and M University |
| Language | en_US |
| Detected Language | English |
| Type | Book, Thesis, Electronic Dissertation, text |
| Format | 1688172 bytes, electronic, application/pdf, born digital |
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