A regulation probability model-based meta-analysis of multiple transcriptomics data sets for cancer biomarker identification
作者: Xin-Ping XieYu-Feng XieHong-Qiang Wang
作者单位: 1Anhui Jianzhu University
2Cancer Hospital, CAS
3MICB Lab., Hefei Institutes of Physical Science, CAS
刊名: BMC Bioinformatics, 2017, Vol.18 (1)
来源数据库: Springer Journal
DOI: 10.1186/s12859-017-1794-6
关键词: CancerTranscriptomics dataMeta-analysisDifferential expressionRegulation probability
英文摘要: Large-scale accumulation of omics data poses a pressing challenge of integrative analysis of multiple data sets in bioinformatics. An open question of such integrative analysis is how to pinpoint consistent but subtle gene activity patterns across studies. Study heterogeneity needs to be addressed carefully for this goal.
原始语种摘要: Large-scale accumulation of omics data poses a pressing challenge of integrative analysis of multiple data sets in bioinformatics. An open question of such integrative analysis is how to pinpoint consistent but subtle gene activity patterns across studies. Study heterogeneity needs to be addressed carefully for this goal.
全文获取路径: Springer  (合作)
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来源刊物:
影响因子:3.024 (2012)

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关键词翻译
关键词翻译
  • analysis 分析
  • biomarker 生物标志化合物
  • probability 概率
  • subtle 稀薄的
  • multiple 多次的
  • integrative 综合
  • accumulation 堆积
  • pinpoint 针尖
  • bioinformatics 生物信息学
  • pressing 紧急的