On the limits of data-driven cancer prognosis prediction

Abstract

We show that a widely used training-data classification rule fails to provide reliable cancer prognosis prediction even in a very simple case with binary data from a relatively small number of genes. We also show that this limitation can be overcome by optimally integrating prior biological knowledge into a model-based framework with a sufficient amount of… (More)
DOI: 10.1109/BHI.2016.7455953

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Cite this paper

@article{Yousefi2016OnTL, title={On the limits of data-driven cancer prognosis prediction}, author={Mohammadmahdi R. Yousefi and Lori A. Dalton}, journal={2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)}, year={2016}, pages={537-540} }