GradientScanSurv-An exhaustive association test method for gene expression data with censored survival outcome.

ABSTRACT: Accurate assessment of the association between continuous variables such as gene expression and survival is a critical aspect of precision medicine. In this report, we provide a review of some of the available survival analysis and validation tools by referencing published studies that have utilized these tools. We have identified pitfalls associated with the assumptions inherent in those applications that have the potential to impact scientific research through their potential bias. In order to overcome these pitfalls, we have developed a novel method that enables the logrank test method to handle continuous variables that comprehensively evaluates survival association with derived aggregate statistics. This is accomplished by exhaustively considering all the cutpoints across the full exp

SUBMITTER: Yi M 

PROVIDER: S-EPMC6281197 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature