Estimating an oncogenetic tree when false negatives and positives are present.

Abstract:

:Human solid tumors are believed to be caused by a sequence of genetic abnormalities arising in the tumor cells. The understanding of these sequences is extremely important for improving cancer treatment. Models for the occurrence of the abnormalities include linear structure and a recently proposed tree-based structure. In this paper we extend the pure oncogenetic tree model by introducing false positive and false negative observations. We state conditions sufficient for the reconstruction of the generating tree. As an example we analyze a comparative genomic hybridization data set and show that addition of the error model significantly improves the ability of the model to describe the data.

journal_name

Math Biosci

journal_title

Mathematical biosciences

authors

Szabo A,Boucher K

doi

10.1016/s0025-5564(02)00086-x

subject

Has Abstract

pub_date

2002-04-01 00:00:00

pages

219-36

issue

2

eissn

0025-5564

issn

1879-3134

pii

S002555640200086X

journal_volume

176

pub_type

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