Abstract
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.
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Acknowledgments
This work was supported by the Zhi-Yuan chair professorship start-up grant (WF220103010) from Shanghai Jiao Tong University.
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Chen, Y., Tu, S., Xu, L. (2017). Survival-Expression Map and Essential Forms of Survival-Expression Relations for Genes. In: Sun, Y., Lu, H., Zhang, L., Yang, J., Huang, H. (eds) Intelligence Science and Big Data Engineering. IScIDE 2017. Lecture Notes in Computer Science(), vol 10559. Springer, Cham. https://doi.org/10.1007/978-3-319-67777-4_58
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DOI: https://doi.org/10.1007/978-3-319-67777-4_58
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