A Deep Learning Model for Cancer Type Prediction Sets a New Standard.

Journal: Cancer discovery
Published Date:

Abstract

Classifying tumor types using machine learning approaches is not always trivial, particularly for challenging cases such as cancers of unknown primary. In this issue of Cancer Discovery, Darmofal and colleagues describe a new tool that uses information from a clinical sequencing panel to diagnose tumor type, and show that the model is particularly robust. See related article by Darmofal et al., p. 1064 (1).

Authors

  • Salil Garg
    Laboratory Medicine and Pathology, Yale University, New Haven, Connecticut.