| dc.contributor.author |
Deepa, J |
|
| dc.contributor.author |
Dr. Tessamma, Thomas |
|
| dc.date.accessioned |
2014-07-07T06:48:46Z |
|
| dc.date.available |
2014-07-07T06:48:46Z |
|
| dc.date.issued |
2013-03-05 |
|
| dc.identifier.uri |
http://dyuthi.cusat.ac.in/purl/3993 |
|
| dc.description |
Department of Electronics
Cochin University of Science and Technology |
en_US |
| dc.description.abstract |
In this thesis, different techniques for image analysis of high density
microarrays have been investigated. Most of the existing image analysis techniques
require prior knowledge of image specific parameters and direct user intervention
for microarray image quantification. The objective of this research work was to
develop of a fully automated image analysis method capable of accurately
quantifying the intensity information from high density microarrays images. The
method should be robust against noise and contaminations that commonly occur in
different stages of microarray development. |
en_US |
| dc.description.sponsorship |
Cochin University of Science and Technology |
en_US |
| dc.language.iso |
en |
en_US |
| dc.publisher |
Cochin University Of Science And Technology |
en_US |
| dc.subject |
Digital Image Processing |
en_US |
| dc.subject |
Image Processing in Molecular Biology Research |
en_US |
| dc.subject |
Central Dogma of Molecular Biology |
en_US |
| dc.subject |
Fabrication of cDNA Micoarrays |
en_US |
| dc.subject |
Types of Microarray |
en_US |
| dc.subject |
Automatic Gridding of microarray images |
en_US |
| dc.title |
Development of a Fully Automated Image Analysis Method for High Density cDNA and array CGH Microarray Based Genomic Studies |
en_US |
| dc.type |
Thesis |
en_US |