Survival-Expression Map and Essential Forms of Survival-Expression Relations for Genes

  • Yajing Chen
  • Shikui Tu
  • Lei XuEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10559)


The relation between survival and gene expression has been investigated in many studies. Some used a univariate Cox model to detect genes with expression significantly related to survival. Some built a multivariate Cox model to analyze the influence of multiple genes on death risk. The original Cox model assumes a linear relation between survival and expression. But some evidence implied the existence of non-linear relation. Whether the survival-expression relations for different genes share some particular forms remain unknown. Here, we clustered the survival-expression (S-E) relations by k-means. We also developed a survival-expression (S-E) map to display the S-E relations for each cluster and summarized four essential forms of relations. We believe that the four essential S-E forms might assist the discovery of therapeutic targets and enhance the understanding of mechanisms in cancers.


Cox regression Spline Survival-expression map Essential survival-expression relation 



This work was supported by the Zhi-Yuan chair professorship start-up grant (WF220103010) from Shanghai Jiao Tong University.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Center for Cognitive Machines and Computational Health, and Department of Computer Science and EngineeringShanghai Jiao Tong UniversityShanghaiChina
  2. 2.Department of Computer Science and EngineeringThe Chinese University of Hong KongHong Kong SARChina

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