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.
Metadata
Item Type: | Thesis (Degree) |
---|---|
Creators: | Creators Email / ID Num. Ariffin, Siti Nurihan 2005731394 |
Contributors: | Contribution Name Email / ID Num. Thesis advisor Redzuan, Fauziah UNSPECIFIED |
Subjects: | Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Data mining Q Science > QH Natural history - Biology > Genetics > Human genetics |
Divisions: | Universiti Teknologi MARA, Shah Alam > Faculty of Computer and Mathematical Sciences |
Programme: | Bachelor of Science (Hons) Information System Engineering |
Keywords: | DNA sequence, race classification, predict races |
Date: | 28 May 2008 |
URI: | https://ir.uitm.edu.my/id/eprint/64576 |
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