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Systematic analysis of cancer-specific synthetic lethal interactions provides insight into personalized anticancer therapy.
Guo, Li; Dou, Yuyang; Xiang, Yangyang; Luo, Lulu; Xu, Xinru; Wang, Qiushi; Zhang, Yuting; Liang, Tingming.
  • Guo L; Department of Bioinformatics, Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, China.
  • Dou Y; Department of Bioinformatics, Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, China.
  • Xiang Y; Department of Bioinformatics, Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, China.
  • Luo L; Jiangsu Key Laboratory for Molecular and Medical Biotechnology, School of Life Science, Nanjing Normal University, China.
  • Xu X; Jiangsu Key Laboratory for Molecular and Medical Biotechnology, School of Life Science, Nanjing Normal University, China.
  • Wang Q; Department of Bioinformatics, Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, China.
  • Zhang Y; Department of Bioinformatics, Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, China.
  • Liang T; Jiangsu Key Laboratory for Molecular and Medical Biotechnology, School of Life Science, Nanjing Normal University, China.
FEBS J ; 290(6): 1531-1548, 2023 03.
Article en En | MEDLINE | ID: mdl-36181326
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Genes Letales / Neoplasias / Antineoplásicos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Genes Letales / Neoplasias / Antineoplásicos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article