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GDC Releases Survival Analysis Updates

The GDC released survival analysis and other enhancements in the Xanthopoulos release.

  • The GDC transitioned to using lifelines an open-source Python library for survival analysis that provides tools for modeling time-to-event data, including Kaplan–Meier estimation, Cox proportional hazards regression, and other methods for analyzing censored observations
  • Days-to-follow-up values for available data were added to survival analysis calculations. 

Details on updates to survival analysis are available in the GDC Data Portal User's Guide.

This release honors the legacy of Basilis C. Xanthopoulos, continuing the GDC tradition of celebrating pioneering scientists. 

For detailed information, visit the GDC Data Portal Release Notes. Updated documentation and tutorials are available in the GDC 2.0 Data Portal User’s Guide and accompanying GDC 2.0 Video Tutorial. We value your feedback! Share your thoughts on GDC 2.0 by contacting us at support@nci-gdc.datacommons.io.

DID YOU KNOW!...that the GDC has high coverage whole genome sequencing (WGS) data from The Cancer Genome Atlas (TCGA) program? See the FAQ on Finding High Coverage WGS Data for additional information.