Ancestral inference in tumors: how much can we know?

Zhao, Junsong; Siegmund, Kimberly D; Shibata, Darryl; Marjoram, Paul

Zhao, Junsong; Siegmund, Kimberly D; Shibata, Darryl; Marjoram, Paul.

Afiliação

Zhao J; Department of Molecular and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA. Electronic address: junsongz@usc.edu.
Siegmund KD; Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA. Electronic address: kims@usc.edu.
Shibata D; Department of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA. Electronic address: dshibata@usc.edu.
Marjoram P; Department of Molecular and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA; Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA. Electronic address: pmarjora@usc.edu.

J Theor Biol ; 359: 136-45, 2014 Oct 21.

Article em En | MEDLINE | ID: mdl-24907673

Assuntos

Biologia Computacional; Evolução Molecular; Neoplasias/genética; Teorema de Bayes; Proliferação de Células/genética; Neoplasias Colorretais/genética; Neoplasias Colorretais/patologia; Ilhas de CpG/genética; Metilação de DNA; Heterogeneidade Genética; Genoma Humano; Humanos; Neoplasias/patologia; Análise de Sequência de DNA

Palavras-chave

Ancestry; Approximate Bayesian computation; Methylation; Methylation error rate; Number of cancer stem cells

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Evolução Molecular / Biologia Computacional / Neoplasias Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: J Theor Biol Ano de publicação: 2014 Tipo de documento: Article

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