Paper Info
Title
Identifying the combination of genetic factors that determine susceptibility to cervical cancer.
Abstract
Cervical cancer is common among women all over the world. Although infection with high-risk types of human papillomavirus (HPV) has been identified as the primary cause of cervical cancer, only some of those infected go on to develop cervical cancer. Obviously, the progression from HPV infection to cancer involves other environmental and host factors. Recent population-based twin and family studies have demonstrated the importance of the hereditary component of cervical cancer, associated with genetic susceptibility. Consequently, single-nucleotide polymorphism (SNP) markers and microsatellites should be considered genetic factors for determining what combinations of genetic factors are involved in precancerous changes to cervical cancer. This study employs a Bayesian network and four different decision tree algorithms, and compares the performance of these learning algorithms. The results of this study raise the possibility of investigations that could identify combinations of genetic factors, such as SNPs and microsatellites, that influence the risk associated with common complex multifactorial diseases, such as cervical cancer.
Year
DOI
Venue
2004
10.1109/TITB.2004.824738
IEEE Transactions on Information Technology in Biomedicine
Keywords
DocType
Volume
cancer,single nucleotide polymorphism,testing,genetic susceptibility,bayesian methods,indexing terms,genetics,gynaecology,genomics,microsatellites,amino acids,snp,decision trees,bayesian network,decision tree,bioinformatics
Conference
8
Issue
ISSN
ISBN
1
1089-7771
0-7695-2173-8
Citations 
PageRank 
References 
0
0.34
6
Authors
6
Name
Order
Citations
PageRank
Jorng-Tzong Horng154167.78
k hu200.34
Li-Cheng Wu3564.37
Hsien-Da Huang483563.83
horncheng lai500.34
tonyuen chu600.34