Automated Data Extraction and Analysis for Arrayed Primer Extension Images
| dc.contributor.advisor | Anbarjafari, Gholamreza, juhendaja | |
| dc.contributor.author | Haamer, Rain Eric | |
| dc.contributor.other | Tartu Ülikool. Loodus- ja täppisteaduste valdkond | et |
| dc.contributor.other | Tartu Ülikool. Tehnoloogiainstituut | et |
| dc.date.accessioned | 2017-06-08T11:41:17Z | |
| dc.date.available | 2017-06-08T11:41:17Z | |
| dc.date.issued | 2017 | |
| dc.description.abstract | The Arrayed Primer Extension (APEX) method is used to detect Single-Nucleotide Polymorphism (SNP), deletion and insertion based diseases. The main method consists of washing different flourophores over oligonukleotites and then analysing which flourophore attached to identify the oligonukleotites. A crucial step in the APEX method is analysing the captured light from the flourophores when a laser excites them. The current method of analysing this data requires extensive manual review. This thesis describes a method of automating the data grid detection in the captured images which is currently a manual task. The second part describes the application of predictive methods for the data analysis of the four captured images and comparisons to the already existing clustering method. | en |
| dc.identifier.uri | http://hdl.handle.net/10062/56558 | |
| dc.language.iso | eng | en |
| dc.publisher | Tartu Ülikool | et |
| dc.subject | KLD, SVM, LBP, Clustering | en |
| dc.subject | KLD, SVM, LBP, Klusterdamine | et |
| dc.subject.other | bakalaureusetööd | et |
| dc.title | Automated Data Extraction and Analysis for Arrayed Primer Extension Images | en |
| dc.title.alternative | Praimerekstensioon Oligonukleotiidmaatriksi Piltidel Olevate Andmete Tuvastuse ja Anal¨u¨ usi Automatiseerimine | et |
| dc.type | Thesis | et |