DocumentCode :
3673203
Title :
Analysis of gene mutation that cause lung cancer by using data miningand study of common remedy
Author :
Chaewon Ham;Jiwoo Kim;Seojung Ahn;Yebin Kim;Sewon Kim;Taeseon Yoon
Author_Institution :
Department of International, Hankuk Academy of Foreign Studies, HAFS, Yongin, South Korea
fYear :
2015
Firstpage :
1
Lastpage :
5
Abstract :
Although there are a lot of advances in treating cancer, lung cancer is still the top ranked killer cancer taking millions of people´s lives. For heavy patients, targeted therapy is commonly used to delay the progress of cancer. However, different mutations that cause lung cancer need different drugs for the treatment. In order to find similarities between mutations, we conducted an experiment using apriori algorithm and decision tree algorithm in order to compare the DNA sequence of mutations that can possibly lead to lung cancer.
Keywords :
"Cancer","Lungs","Proteins","Medical treatment","Decision trees","Algorithm design and analysis","Amino acids"
Publisher :
ieee
Conference_Titel :
Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2015 IEEE Conference on
Type :
conf
DOI :
10.1109/CIBCB.2015.7300307
Filename :
7300307
Link To Document :
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