Learning Individual Survival Models from PanCancer Whole Transcriptome Data.

Neeraj Kumar Daniel Skubleny Michael Parkes Ruchika Verma Sacha Davis Luke Kumar Amira Aissiou Russell Greiner

Published in: Clinical cancer research : an official journal of the American Association for Cancer Research (2023)

NMF-MTLR provides many benefits over other models: superior model discrimination, superior calibration, meaningful survival time estimates, and accurate probabilistic estimates of survival over time for each individual patient. We advocate for the adoption of these cancer survival models in clinical and research settings.

Keyphrases

free survival
electronic health record
gene expression
high resolution
case report
young adults
rna seq
genome wide
mass spectrometry
big data
artificial intelligence
low cost