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  Rtreemix: an R package for estimating evolutionary pathways and genetic progression scores

Bogojeska, J., Alexa, A., Altmann, A., Lengauer, T., & Rahnenführer, J. (2008). Rtreemix: an R package for estimating evolutionary pathways and genetic progression scores. Bioinformatics, 24(20), 2391-2392. doi:10.1093/bioinformatics/btn410.

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Bogojeska, Jasmina1, 2, Autor           
Alexa, Adrian1, 2, Autor           
Altmann, André1, Autor           
Lengauer, Thomas1, Autor           
Rahnenführer, Jörg1, Autor           
Affiliations:
1Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society, ou_40046              
2International Max Planck Research School, MPI for Informatics, Max Planck Society, ou_1116551              

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 Zusammenfassung: Summary: In genetics, many evolutionary pathways can be modeled by the ordered accumulation of permanent changes. Mixture models of mutagenetic trees have been used to describe disease progression in cancer and in HIV. In cancer, progression is modeled by the accumulation of chromosomal gains and losses in tumor cells; in HIV, the accumulation of drug resistance-associated mutations in the viral genome is known to be associated with disease progression. From such evolutionary models, genetic progression scores can be derived that assign measures for the disease state to single patients. Rtreemix is an R package for estimating mixture models of evolutionary pathways from observed cross-sectional data and for estimating associated genetic progression scores. The package also provides extended functionality for estimating confidence intervals for estimated model parameters and for evaluating the stability of the estimated evolutionary mixture models.

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Sprache(n): eng - English
 Datum: 2009-03-092008
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: eDoc: 428002
DOI: 10.1093/bioinformatics/btn410
URI: http://dx.doi.org/10.1093/bioinformatics/btn410
Anderer: Local-ID: C125756E0038A185-6B37EB33694127E1C125751200507021-Bogojeska_trees_2008
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Titel: Bioinformatics
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 24 (20) Artikelnummer: - Start- / Endseite: 2391 - 2392 Identifikator: ISSN: 1367-4803