Developing bioinformatics approaches to analyze and cluster pathogenic bacteria based on seg mental genomic duplication
| dc.contributor.advisor | Tamimi, Hashem | |
| dc.contributor.author | Al-Khateeb, Amjad | |
| dc.contributor.author | Al-Halawani, Khaldoun | |
| dc.date.accessioned | 2022-03-17T07:59:27Z | |
| dc.date.accessioned | 2022-05-22T08:15:53Z | |
| dc.date.available | 2022-03-17T07:59:27Z | |
| dc.date.available | 2022-05-22T08:15:53Z | |
| dc.date.issued | 2009-06-01 | |
| dc.description | no of pages 57, 23346, تكنولوجيا المعلومات 13/2009 , in the store | |
| dc.description.abstract | This project aims to implement the computer science concepts in the biotechnology field. The idea is to apply machine learning algorithms such as Fuzzy C-Means, Subtractive, and genetic algorithms. A set of pathogenic and non-pathogenic bacterium is selected to be clustered based on its genomic duplication features. The clustering is done by extracting a set of features from the genomic duplication in the DNA sequence of each bacterium. And then the correlation between the clusters and a group of biological features is calculated. To select the best combination of duplication features a genetic algorithm is used, each clustering process is evaluated and fitness is calculated, and the genetic algorithm select the best fitness. A hierarchical clustering is implemented on each of the duplication features, so we can analyze the feature from one dimension. The output of the hierarchical clustering is analyzed manually. | en_US |
| dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/7641 | |
| dc.language.iso | en | en_US |
| dc.publisher | جامعة بوليتكنك فلسطين - تكنولوجيا المعلومات | en_US |
| dc.subject | bioinformatics approaches | en_US |
| dc.title | Developing bioinformatics approaches to analyze and cluster pathogenic bacteria based on seg mental genomic duplication | en_US |
| dc.type | Other | en_US |