Predicting clinical outcomes in neuroblastoma with genomic data integration.

Baali, Ilyes; Acar, D Alp Emre; Aderinwale, Tunde W; HafezQorani, Saber; Kazan, Hilal

Baali, Ilyes; Acar, D Alp Emre; Aderinwale, Tunde W; HafezQorani, Saber; Kazan, Hilal.

Afiliação

Baali I; Department of Computer Engineering, Antalya Bilim University, Antalya, Turkey.
Acar DAE; Department of Computer Engineering, Antalya Bilim University, Antalya, Turkey.
Aderinwale TW; Present Address: Department of Electrical and Computer Engineering, Boston University, Boston, US.
HafezQorani S; Electrical and Computer Engineering Graduate Program, Institute of Applied Sciences, Antalya Bilim University, Antalya, Turkey.
Kazan H; Present Address: Department of Computer Science, Purdue University, West Lafayette, US.

Biol Direct ; 13(1): 20, 2018 09 27.

Article em En | MEDLINE | ID: mdl-30621745

Assuntos

Genômica/métodos; Neuroblastoma/genética; Intervalo Livre de Progressão; Estudos de Coortes; Humanos; Modelos Estatísticos; Neuroblastoma/diagnóstico; Prognóstico

Palavras-chave

Cancer subtypes; Data integration; Kernel k-means; Neuroblastoma

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Genômica / Intervalo Livre de Progressão / Neuroblastoma Tipo de estudo: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article

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