An information theoretic method to identify combinations of genomic alterations that promote glioblastoma.

Melamed, Rachel D; Wang, Jiguang; Iavarone, Antonio; Rabadan, Raul

Melamed, Rachel D; Wang, Jiguang; Iavarone, Antonio; Rabadan, Raul.

Afiliação

Melamed RD; Department of Systems Biology, Columbia University College of Physicians and Surgeons, New York, NY, USA Department of Biomedical Informatics, Columbia University College of Physicians and Surgeons, New York, NY, USA.
Wang J; Department of Systems Biology, Columbia University College of Physicians and Surgeons, New York, NY, USA Department of Biomedical Informatics, Columbia University College of Physicians and Surgeons, New York, NY, USA.
Iavarone A; Institute for Cancer Genetics, Columbia University College of Physicians and Surgeons, New York, NY, USA Department of Pathology and Cell Biology, Columbia University College of Physicians and Surgeons, New York, NY, USA Department of Neurology, Columbia University College of Physicians and Surgeons
Rabadan R; Department of Systems Biology, Columbia University College of Physicians and Surgeons, New York, NY, USA Department of Biomedical Informatics, Columbia University College of Physicians and Surgeons, New York, NY, USA rr2579@cumc.columbia.edu.

J Mol Cell Biol ; 7(3): 203-13, 2015 Jun.

Article em En | MEDLINE | ID: mdl-25941339

Assuntos

Predisposição Genética para Doença; Glioblastoma/genética; Algoritmos; Variações do Número de Cópias de DNA; Redes Reguladoras de Genes; Estudos de Associação Genética; Genoma Humano; Genômica; Humanos; Modelos Genéticos; Mutação; Software

Palavras-chave

cancer; cancer genetics; copy number; entropy; genomics; sequencing

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Glioblastoma / Predisposição Genética para Doença Limite: Humans Idioma: En Revista: J Mol Cell Biol Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2015 Tipo de documento: Article País de afiliação: Estados Unidos

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