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Tumor heterogeneity assessed by sequencing and fluorescence in situ hybridization (FISH) data.
Lei, Haoyun; Gertz, E Michael; Schäffer, Alejandro A; Fu, Xuecong; Tao, Yifeng; Heselmeyer-Haddad, Kerstin; Torres, Irianna; Li, Guibo; Xu, Liqin; Hou, Yong; Wu, Kui; Shi, Xulian; Dean, Michael; Ried, Thomas; Schwartz, Russell.
Afiliação
  • Lei H; Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
  • Gertz EM; Cancer Data Science Laboratory, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
  • Schäffer AA; Cancer Data Science Laboratory, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
  • Fu X; Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
  • Tao Y; Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
  • Heselmeyer-Haddad K; Shenzhen Luohu People's Hospital, Shenzhen 518000, China.
  • Torres I; Shenzhen Luohu People's Hospital, Shenzhen 518000, China.
  • Li G; Genetics Branch, Cancer Genomics Section, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
  • Xu L; Department of Biology, University of Copenhagen, 1599 Copenhagen, Denmark.
  • Hou Y; Genetics Branch, Cancer Genomics Section, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
  • Wu K; Genetics Branch, Cancer Genomics Section, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
  • Shi X; Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
  • Dean M; Department of Biotechnology and Biomedicine, Technical University of Denmark, 2800 Kongens Lyngby, Denmark.
  • Ried T; Shenzhen Luohu People's Hospital, Shenzhen 518000, China.
  • Schwartz R; Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
Bioinformatics ; 37(24): 4704-4711, 2021 12 11.
Article em En | MEDLINE | ID: mdl-34289030
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Neoplasias Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Neoplasias Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article