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Online First:2016-09,
Published:20 September 2016
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Yang LIU, Hui BAI, Xiaochen BO. Application of large scale gene expression profiles in anticancer drug development[J]. Big data research, 2016, 2(5): 2016051.
Yang LIU, Hui BAI, Xiaochen BO. Application of large scale gene expression profiles in anticancer drug development[J]. Big data research, 2016, 2(5): 2016051. DOI: 10.11959/j.issn.2096-0271.2016051.
作为功能基因组学中重要的组成部分,基因表达谱在生物学、医学和药物研发等多个领域发挥着重要作用。特别是随着精准医疗概念的提出,整合包括基因表达谱在内的多组学数据用于个性化医疗是未来的发展趋势。从抗癌药物研发背景出发,介绍了基于细胞扰动表达谱的大数据分析方法,并且总结了其在抗癌药物研发中的应用。
As an important part of functional genomics
gene expression profile plays an important role in many fields
such as biology
medicine and drug discovery.With the advent of precision medicine
integration of multi-omics data including gene expression profile data for personalized health care is becoming the trend of future medicine.The advances of anticancer drug development were introduced firstly
and then the methods for perturbational gene expression profile analysis were illustrated
especially connectivity map idea.Finally applications of these data in anticancer drug development were summarized.
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