Analysis of Cancer Epidemiological Data Using Biologically-Motivated Markov Models
博士 === 國立臺灣大學 === 公共衛生學系 === 86 === AbstractObjectives Most cancer epidemiological researches explore the determinants of adichotomous disease outcome and very few of them exploit underlying biologicaltheories of disease pathogenesis.The Armitage an...
Main Authors: | Wang, Mey, 王玫 |
---|---|
Other Authors: | Chen-Hsin Chen |
Format: | Others |
Language: | zh-TW |
Published: |
1998
|
Online Access: | http://ndltd.ncl.edu.tw/handle/93023284886846263375 |
Similar Items
Similar Items
-
Biological Terms Recognition:Using Hidden Markov Models
by: Chih-Wei Chen, et al.
Published: (2007) -
Generalizations of Markov model to characterize biological sequences
by: Hannenhalli Sridhar, et al.
Published: (2005-09-01) -
Structural Information and Hidden Markov Models for Biological Sequence Analysis
by: Tångrot, Jeanette
Published: (2008) -
Exploring the structure of Hidden Markov Models for biological sequence analysis
by: Won, Kyoung-Jae
Published: (2005) -
Markov Analysis for STPN Web Structure Model
by: Bin-Hong Wang, et al.
Published: (2007)