Prioritizing biological pathways by recognizing context in time-series gene expression data
作者: Jusang LeeKyuri JoSunwon LeeJaewoo KangSun Kim
作者单位: 1Seoul National University
2Korea University
刊名: BMC Bioinformatics, 2016, Vol.17 (17)
来源数据库: Springer Nature Journal
DOI: 10.1186/s12859-016-1335-8
关键词: Literature informationPathwayPathway analysisPathway prioritizationTime series
英文摘要: Abstract(#br) Background(#br)The primary goal of pathway analysis using transcriptome data is to find significantly perturbed pathways. However, pathway analysis is not always successful in identifying pathways that are truly relevant to the context under study. A major reason for this difficulty is that a single gene is involved in multiple pathways. In the KEGG pathway database, there are 146 genes, each of which is involved in more than 20 pathways. Thus activation of even a single gene will result in activation of many pathways. This complex relationship often makes the pathway analysis very difficult. While we need much more powerful pathway analysis methods, a readily available alternative way is to incorporate the literature information.(#br) Results(#br)In this study, we propose a...
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影响因子:3.024 (2012)

  • recognizing 识别
  • series 
  • context 菌髓
  • biological 生物学的
  • expression 表示