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Gene Co-expression Network and Copy Number Variation Analyses Identify Transcription Factors Associated With Multiple Myeloma Progression.
Yu, Christina Y; Xiang, Shunian; Huang, Zhi; Johnson, Travis S; Zhan, Xiaohui; Han, Zhi; Abu Zaid, Mohammad; Huang, Kun.
Afiliación
  • Yu CY; Department of Biomedical Informatics, The Ohio State University, Columbus, OH, United States.
  • Xiang S; Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, United States.
  • Huang Z; Department of Medical and Molecular Genetics, Indiana University, Indianapolis, IN, United States.
  • Johnson TS; National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China.
  • Zhan X; Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, United States.
  • Han Z; School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, United States.
  • Abu Zaid M; Department of Biomedical Informatics, The Ohio State University, Columbus, OH, United States.
  • Huang K; Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, United States.
Front Genet ; 10: 468, 2019.
Article en En | MEDLINE | ID: mdl-31156714
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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Genet Año: 2019 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Genet Año: 2019 Tipo del documento: Article