Mining the DNA sequence for race classification / Siti Nurihan Ariffin

Ariffin, Siti Nurihan (2008) Mining the DNA sequence for race classification / Siti Nurihan Ariffin. Degree thesis, Universiti Teknologi MARA (UiTM).

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
Edit Item
Edit Item

Download

[thumbnail of 64576.pdf] Text
64576.pdf

Download (118kB)

Digital Copy

Digital (fulltext) is available at:

Physical Copy

Physical status and holdings:
Item Status:
On Shelf

ID Number

64576

Indexing

Statistic

Statistic details