论文信息 - The Fuzzy ROC

The Fuzzy ROC

The fuzzy ROC extends Receiver Operating Curve (ROC) visualization to the situation where some data points, falling in an indeterminacy region, are not classified. It addresses two challenges: definition of sensitivity and specificity bounds under indeterminacy; and visual summarization of the large number of possibilities arising from different choices of indeterminacy zones.

Giovanni Parmigiani | G. Parmigiani

[1] David J. Hand,et al. A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification Problems , 2001, Machine Learning.

[2] Tom Fawcett,et al. An introduction to ROC analysis , 2006, Pattern Recognit. Lett..

[3] A. Nobel,et al. Supervised risk predictor of breast cancer based on intrinsic subtypes. , 2009, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[4] C. Huttenhower,et al. Risk prediction for late-stage ovarian cancer by meta-analysis of 1525 patient samples. , 2014, Journal of the National Cancer Institute.

[5] Benjamin Haibe-Kains,et al. curatedOvarianData: clinically annotated data for the ovarian cancer transcriptome , 2013, Database J. Biol. Databases Curation.

[6] Tatsuhiko Tsunoda,et al. High-Risk Ovarian Cancer Based on 126-Gene Expression Signature Is Uniquely Characterized by Downregulation of Antigen Presentation Pathway , 2012, Clinical Cancer Research.