DocumentCode :
3673214
Title :
New approaches to identify cancer heterogeneity in DNA methylation studies using the lepage test and multinomial logistic regression
Author :
Seongkeon Lee;Youngjun Piao;Huidong Shi;Jeong-Hyeon Choi
Author_Institution :
Department of Statistics, Sungshin Women´s University, Seoul, Korea
fYear :
2015
Firstpage :
1
Lastpage :
7
Abstract :
It is well known that cancer cells are diverse and heterogeneous among patients, and that this heterogeneity makes cancer diagnosis and cure difficult. Intra-tumoral heterogeneity has very recently become important because a small proportion of drug-resistant or tumor-initiating cells can ultimately determine a patient´s outcome. In this study, we propose new approaches to use variance tests, including the Lepage test, to identify inter-patient cancer heterogeneity, as well as multinomial logistic regression to identify intra-patient cancer heterogeneity, i.e., different epiallele composition. We conduct experiments to show the performance of the proposed approaches.
Keywords :
"Cancer","Standards","Logistics","Tumors","Bioinformatics","Genomics","Sequential analysis"
Publisher :
ieee
Conference_Titel :
Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2015 IEEE Conference on
Type :
conf
DOI :
10.1109/CIBCB.2015.7300318
Filename :
7300318
Link To Document :
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