Journal Article
@Article
Artikel in Fachzeitschrift


Show entries of:

this year (2019) | last year (2018) | two years ago (2017) | Notes URL

Action:

login to update

Options:








Author, Editor(s)

Author(s):

Bogojeska, Jasmina
Lengauer, Thomas
Rahnenführer, Jörg

dblp
dblp
dblp

Not MPG Author(s):

Rahnenführer, Jörg

BibTeX cite key*:

Bogojeska_bmc_2008

Title

Title*:

Stability analysis of mixtures of mutagenetic trees

Journal

Journal Title*:

BMC Bioinformatics

Journal's URL:

http://www.biomedcentral.com/bmcbioinformatics/

Download URL
for the article:

http://www.biomedcentral.com/1471-2105/9/165

Language:

English

Publisher

Publisher's
Name:

BioMed Central

Publisher's URL:


Publisher's
Address:

London, UK

ISSN:

1471-2105

Vol, No, pp, Date

Volume*:

9

Number:

1

Publishing Date:

March 2008

Pages*:

165-181

Number of
VG Pages:


Page Start:


Page End:


Sequence Number:

165

DOI:

10.1186/1471-2105-9-165

Note, Abstract, ©

Note:


(LaTeX) Abstract:

BACKGROUND: Mixture models of mutagenetic trees are evolutionary models that capture several pathways of ordered accumulation of genetic events observed in different subsets of patients. They were used to model HIV progression by accumulation of resistance mutations in the viral genome under drug pressure and cancer progression by accumulation of chromosomal aberrations in tumor cells. From the mixture models a genetic progression score (GPS) can be derived that estimates the genetic status of single patients according to the corresponding progression along the tree models. GPS values were shown to have predictive power for estimating drug resistance in HIV or the survival time in cancer. Still, the reliability of the exact values of such complex markers derived from graphical models can be questioned. RESULTS: In a simulation study, we analyzed various aspects of the stability of estimated mutagenetic trees mixture models. It turned out that the induced probabilistic distributions and the tree topologies are recovered with high precision by an EM-like learning algorithm. However, only for models with just one major model component, also GPS values for single patients can be reliably estimated. CONCLUSIONS: It is encouraging that the estimation process of mutagenetic trees mixture models can be performed with high confidence regarding induced probability distributions and the general shape of the tree topologies. For a model with only one major disease progression process, even genetic progression scores for single patients can be reliably estimated. However, for models with more than one relevant component, alternative measures should be introduced for estimating the stage of disease progression.

URL for the Abstract:

http://www.biomedcentral.com/1471-2105/9/165/abstract/

Categories,
Keywords:

stability analysis, mutagenetic trees, GPS, HIV drug resistance

HyperLinks / References / URLs:


Copyright Message:


Personal Comments:


Download
Access Level:

Internal

Correlation

MPG Unit:

Max-Planck-Institut für Informatik



MPG Subunit:

Computational Biology and Applied Algorithmics

Appearance:

MPII WWW Server, MPII FTP Server, MPG publications list, university publications list, working group publication list, Fachbeirat, VG Wort


BibTeX Entry:

@ARTICLE{Bogojeska_bmc_2008,
AUTHOR = {Bogojeska, Jasmina and Lengauer, Thomas and Rahnenf{\"u}hrer, J{\"o}rg},
TITLE = {Stability analysis of mixtures of mutagenetic trees},
JOURNAL = {BMC Bioinformatics},
PUBLISHER = {BioMed Central},
YEAR = {2008},
NUMBER = {1},
VOLUME = {9},
PAGES = {165--181},
ADDRESS = {London, UK},
MONTH = {March},
ISBN = {1471-2105},
DOI = {10.1186/1471-2105-9-165},
}


Entry last modified by Ruth Schneppen-Christmann, 03/03/2009
Show details for Edit History (please click the blue arrow to see the details)Edit History (please click the blue arrow to see the details)
Hide details for Edit History (please click the blue arrow to see the details)Edit History (please click the blue arrow to see the details)

Editor(s)
Jasmina Bogojeska
Created
01/22/2009 03:02:38 PM
Revision
1.
0.


Editor
Ruth Schneppen-Christmann
Jasmina Bogojeska


Edit Date
22.01.2009 15:23:36
01/22/2009 03:02:38 PM