Learning rule sets from survival data
作者: Łukasz WróbelAdam GudyśMarek Sikora
作者单位: 1Silesian Univ. of Technology
刊名: BMC Bioinformatics, 2017, Vol.18 (1)
来源数据库: Springer Nature Journal
DOI: 10.1186/s12859-017-1693-x
关键词: Survival analysisSeparate-and-conquerRule inductionLog-rank testHigh throughput sequencingCancer
原始语种摘要: Survival analysis is an important element of reasoning from data. Applied in a number of fields, it has become particularly useful in medicine to estimate the survival rate of patients on the basis of their condition, examination results, and undergoing treatment. The recent developments in the next generation sequencing open new opportunities in survival study as they allow vast amount of genome-, transcriptome-, and proteome-related features to be investigated. These include single nucleotide and structural variants, expressions of genes and microRNAs, DNA methylation, and many others.
全文获取路径: Springer Nature  (合作)
影响因子:3.024 (2012)

  • 世代 重要的
  • sequencing 排序
  • survival 生存
  • nucleotide 核苷酸
  • recent 近来的
  • estimate 估计
  • analysis 分析
  • amount 总计
  • related 有关的
  • important 重要的
  • generation 重要的