ROCR: Visualizing classifier performance in R

Bioinformatics

Volumn 21, Issue 20, 2005, Pages 3940-3941

  Sing, Tobias ^a   Sander, Oliver ^a   Beerenwinkel, Niko ^b   Lengauer, Thomas ^a  

^a MAX PLANCK INSTITUTE FOR INFORMATICS   (Germany)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

VIRUS ENVELOPE PROTEIN;

ACCURACY; AMINO ACID SEQUENCE; ANALYTICAL ERROR; ARTICLE; CALIBRATION; CLASSIFICATION; COMPUTER GRAPHICS; COMPUTER LANGUAGE; COMPUTER PROGRAM; CONTROLLED STUDY; HUMAN COMPUTER INTERACTION; HUMAN IMMUNODEFICIENCY VIRUS; MATHEMATICAL COMPUTING; NONHUMAN; PARAMETRIC TEST; PREDICTION; PRIORITY JOURNAL; RECALL; RECEIVER OPERATING CHARACTERISTIC; SCORING SYSTEM; SENSITIVITY AND SPECIFICITY; STANDARDIZATION; VALIDATION PROCESS;

HUMAN IMMUNODEFICIENCY VIRUS;

EID: 27544491192     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/bti623     Document Type: Article

References (5)

1. Baldi,P. and Brunak,S. (2001) Bioinformatics: The Machine Learning Approach. MIT Press, Cambridge, MA.
2. Beerenwinkel,N. et al. (2003) Geno2pheno: Estimating phenotypic drug resistance from HIV-1 genotypes. Nucleic Acids Res., 31, 3850-3855.
3. Beerenwinkel,N. et al. (2002) Diversity and complexity of HIV-1 drug resistance: A bioinformatics approach to predicting phenotype from genotype. Proc. Natl Acad. Sci. USA, 99, 8271-8276.
4. Fawcett,T. (2004) ROC graphs: Notes and practical considerations for researchers. Technical Report HPL-2003-4. HP Labs, Palo Alto, CA.
5. Sing,T., Beerenwinkel,N. and Lengauer,T. (2004) Learning mixtures of localized rules by maximizing the area under the ROC curve. Valencia, Spain. In Proceedings of the 1st International Workshop on ROC Analysis in Artificial intelligence, 89-96.