Mining the DNA sequence for race classification. Degree thesis, Universiti Teknologi MARA, Shah Alam. (2008)
Abstract
Bioinformatics is a new field that arises in Malaysia. It offers many benefits especially in the genes and genomic research. By using the computers technology, it helps the researchers to understand the large amount of data in the bioinformatics. By implementing data mining techniques, the researchers are able to analyze the data from different perspective and summarizing the data into useful information. This research focusing on identifying the data mining methods/ techniques for the race classification and predict the races based on their DNA sequence using the appropriate technique. The comparison between classification techniques was done in order to get the best technique for classification. By implementing the existing tool of neural network, the race classification was achieved. From this research, it helps in identifying the techniques for classification.
| Item Type: | Thesis (Degree) |
|---|---|
| Keywords: | DNA sequence, Race classification, Predict races |
| Taxonomy: | By Niche > Genome > Genomes By Niche > Genome > Human Genome Research |
| Local Content Hub: | Niche > Genome |
| Depositing User: | Hazrul Amir Tomyang (Puncak Alam) |
| Date Deposited: | 31 May 2023 09:16 |
| Last Modified: | 31 May 2023 09:16 |
| Related URLs: |
Actions (login required)
 |
View Item |