Please use this identifier to cite or link to this item:
https://olympias.lib.uoi.gr/jspui/handle/123456789/23921Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Giannakeas, N. | en |
| dc.contributor.author | Fotiadis, D. I. | en |
| dc.contributor.author | Politou, A. S. | en |
| dc.date.accessioned | 2015-11-24T19:36:41Z | - |
| dc.date.available | 2015-11-24T19:36:41Z | - |
| dc.identifier.issn | 1557-170X | - |
| dc.identifier.uri | https://olympias.lib.uoi.gr/jspui/handle/123456789/23921 | - |
| dc.rights | Default Licence | - |
| dc.subject | Algorithms | en |
| dc.subject | Computational Biology/*methods | en |
| dc.subject | Databases, Genetic | en |
| dc.subject | Image Interpretation, Computer-Assisted | en |
| dc.subject | Models, Genetic | en |
| dc.subject | Models, Statistical | en |
| dc.subject | Numerical Analysis, Computer-Assisted | en |
| dc.subject | Oligonucleotide Array Sequence Analysis/*instrumentation/methods | en |
| dc.subject | *Pattern Recognition, Automated | en |
| dc.subject | Reproducibility of Results | en |
| dc.subject | *Sequence Analysis, DNA | en |
| dc.subject | Software | en |
| dc.title | An automated method for gridding in microarray images | en |
| heal.type | journalArticle | - |
| heal.type.en | Journal article | en |
| heal.type.el | Άρθρο Περιοδικού | el |
| heal.identifier.primary | 10.1109/IEMBS.2006.260782 | - |
| heal.identifier.secondary | http://www.ncbi.nlm.nih.gov/pubmed/17946343 | - |
| heal.identifier.secondary | http://ieeexplore.ieee.org/ielx5/4028925/4461641/04463144.pdf?tp=&arnumber=4463144&isnumber=4461641 | - |
| heal.language | en | - |
| heal.access | campus | - |
| heal.recordProvider | Πανεπιστήμιο Ιωαννίνων. Σχολή Επιστημών Υγείας. Τμήμα Ιατρικής | el |
| heal.publicationDate | 2006 | - |
| heal.abstract | Microarray technology is a powerful tool for analyzing the expression of a large number of genes in parallel. A typical microarray image consists of a few thousands of spots which determine the level of gene expression in the sample. In this paper we propose a method which automatically addresses each spot area in the image. Initially, a preliminary segmentation of the image is produced using a template matching algorithm. Next, grid and spot finding are realized. The position of non-expressed spots is located and finally a Voronoi diagram is employed to fit the grid on the image. Our method has been evaluated in a set of five images consisting of 45960 spots, from the Stanford microarray database and the reported accuracy for spot detection was 93% | en |
| heal.journalName | Conf Proc IEEE Eng Med Biol Soc | en |
| heal.journalType | peer-reviewed | - |
| heal.fullTextAvailability | TRUE | - |
| Appears in Collections: | Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά) - ΙΑΤ | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Giannakeas-2006-An automated method.pdf | 758.43 kB | Adobe PDF | View/Open Request a copy |
This item is licensed under a Creative Commons License
