DocumentCode
397269
Title
Oncogenetics tree models - an estimation
Author
Gill, Harpreet Kaur
fYear
2003
fDate
11-14 Aug. 2003
Firstpage
426
Abstract
The development of human cancer is associated with sequence of genetic changes, which lead to characteristic alterations. In most cases the function of these abnormal behavior of cells is still not known. In this paper, we used maximum likelihood (ML) method distance-based algorithms to estimate the tree topology and the parameters of the model. We also used bootstrap validation to illustrate the use of our ML method. We applied it to a data set obtained from cytogenetic analysis of carcinoma samples.
Keywords
bootstrapping; cancer; cellular biophysics; genetics; maximum likelihood sequence estimation; physiological models; trees (mathematics); tumours; abnormal cell behavior; bootstrap validation; carcinoma sample; cytogenetic analysis; distance-based algorithms; genetic change sequence; human cancer; maximum likelihood method; oncogenetics tree models; tree topology; Cancer; Genetics; Humans; Maximum likelihood estimation; Topology;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics Conference, 2003. CSB 2003. Proceedings of the 2003 IEEE
Print_ISBN
0-7695-2000-6
Type
conf
DOI
10.1109/CSB.2003.1227356
Filename
1227356
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