Copyright
©The Author(s) 2018.
World J Clin Oncol. Sep 14, 2018; 9(5): 98-109
Published online Sep 14, 2018. doi: 10.5306/wjco.v9.i5.98
Published online Sep 14, 2018. doi: 10.5306/wjco.v9.i5.98
Figure 5 Evaluation metrics on Bayesian rule learning model learning with real-world lung cancer prognostic dataset.
A: Prior frequency of the edge between epidermal growth factor receptor and T in BRLp model; B: Area under the receiver operator characteristic curve of the BRLp model. BRLp: Bayesian rule learning with informative priors; EGFR: Epidermal growth factor receptor; AUC: Area under the receiver operator characteristic curve.
- Citation: Balasubramanian JB, Gopalakrishnan V. Tunable structure priors for Bayesian rule learning for knowledge integrated biomarker discovery. World J Clin Oncol 2018; 9(5): 98-109
- URL: https://www.wjgnet.com/2218-4333/full/v9/i5/98.htm
- DOI: https://dx.doi.org/10.5306/wjco.v9.i5.98