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A Qualitative Transcriptional Signature for Predicting CpG Island Methylator Phenotype Status of the Right-Sided Colon Cancer.
You, Tianyi; Song, Kai; Guo, Wenbing; Fu, Yelin; Wang, Kai; Zheng, Hailong; Yang, Jing; Jin, Liangliang; Qi, Lishuang; Guo, Zheng; Zhao, Wenyuan.
Afiliación
  • You T; Department of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
  • Song K; Department of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
  • Guo W; Department of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
  • Fu Y; Department of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
  • Wang K; Department of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
  • Zheng H; Department of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
  • Yang J; Department of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
  • Jin L; Department of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
  • Qi L; Department of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
  • Guo Z; Department of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
  • Zhao W; Department of Bioinformatics, Key Laboratory of Ministry of Education for Gastrointestinal Cancer, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, China.
Front Genet ; 11: 971, 2020.
Article en En | MEDLINE | ID: mdl-33193579
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies / Qualitative_research / Risk_factors_studies Idioma: En Revista: Front Genet Año: 2020 Tipo del documento: Article País de afiliación: China
Texto completo
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XML
PubMed Links
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies / Qualitative_research / Risk_factors_studies Idioma: En Revista: Front Genet Año: 2020 Tipo del documento: Article País de afiliación: China