BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

282 related articles for article (PubMed ID: 22734493)

  • 1. An extension of the receiver operating characteristic curve and AUC-optimal classification.
    Takenouchi T; Komori O; Eguchi S
    Neural Comput; 2012 Oct; 24(10):2789-824. PubMed ID: 22734493
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Marker selection via maximizing the partial area under the ROC curve of linear risk scores.
    Wang Z; Chang YC
    Biostatistics; 2011 Apr; 12(2):369-85. PubMed ID: 20729218
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The partial area under the summary ROC curve.
    Walter SD
    Stat Med; 2005 Jul; 24(13):2025-40. PubMed ID: 15900606
    [TBL] [Abstract][Full Text] [Related]  

  • 4. SVMs modeling for highly imbalanced classification.
    Tang Y; Zhang YQ; Chawla NV; Krasser S
    IEEE Trans Syst Man Cybern B Cybern; 2009 Feb; 39(1):281-8. PubMed ID: 19068445
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Small-sample precision of ROC-related estimates.
    Hanczar B; Hua J; Sima C; Weinstein J; Bittner M; Dougherty ER
    Bioinformatics; 2010 Mar; 26(6):822-30. PubMed ID: 20130029
    [TBL] [Abstract][Full Text] [Related]  

  • 6. On linear combinations of dichotomizers for maximizing the area under the ROC curve.
    Marrocco C; Molinara M; Tortorella F
    IEEE Trans Syst Man Cybern B Cybern; 2011 Jun; 41(3):610-20. PubMed ID: 20805055
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A parsimonious threshold-independent protein feature selection method through the area under receiver operating characteristic curve.
    Wang Z; Chang YC; Ying Z; Zhu L; Yang Y
    Bioinformatics; 2007 Oct; 23(20):2788-94. PubMed ID: 17878205
    [TBL] [Abstract][Full Text] [Related]  

  • 8. [Cardiac arrhythmia classification based on multi-features and support vector machines].
    Zhao Y; Hong W; Sun S
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2011 Apr; 28(2):292-5. PubMed ID: 21604488
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A boosting method for maximizing the partial area under the ROC curve.
    Komori O; Eguchi S
    BMC Bioinformatics; 2010 Jun; 11():314. PubMed ID: 20537139
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A new concordant partial AUC and partial c statistic for imbalanced data in the evaluation of machine learning algorithms.
    Carrington AM; Fieguth PW; Qazi H; Holzinger A; Chen HH; Mayr F; Manuel DG
    BMC Med Inform Decis Mak; 2020 Jan; 20(1):4. PubMed ID: 31906931
    [TBL] [Abstract][Full Text] [Related]  

  • 11. AUC-RF: a new strategy for genomic profiling with random forest.
    Calle ML; Urrea V; Boulesteix AL; Malats N
    Hum Hered; 2011; 72(2):121-32. PubMed ID: 21996641
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A knowledge-driven probabilistic framework for the prediction of protein-protein interaction networks.
    Browne F; Wang H; Zheng H; Azuaje F
    Comput Biol Med; 2010 Mar; 40(3):306-17. PubMed ID: 20138613
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A new parametric method based on S-distributions for computing receiver operating characteristic curves for continuous diagnostic tests.
    Sorribas A; March J; Trujillano J
    Stat Med; 2002 May; 21(9):1213-35. PubMed ID: 12111875
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A global goodness-of-fit test for receiver operating characteristic curve analysis via the bootstrap method.
    Zou KH; Resnic FS; Talos IF; Goldberg-Zimring D; Bhagwat JG; Haker SJ; Kikinis R; Jolesz FA; Ohno-Machado L
    J Biomed Inform; 2005 Oct; 38(5):395-403. PubMed ID: 16198998
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A program for computing the prediction probability and the related receiver operating characteristic graph.
    Jordan D; Steiner M; Kochs EF; Schneider G
    Anesth Analg; 2010 Dec; 111(6):1416-21. PubMed ID: 21059744
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Semi-parametric area under the curve regression method for diagnostic studies with ordinal data.
    Rajan KB; Zhou XH
    Biom J; 2012 Jan; 54(1):143-56. PubMed ID: 22161961
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Properties of the summary receiver operating characteristic (SROC) curve for diagnostic test data.
    Walter SD
    Stat Med; 2002 May; 21(9):1237-56. PubMed ID: 12111876
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Indexes for three-class classification performance assessment--an empirical comparison.
    Sampat MP; Patel AC; Wang Y; Gupta S; Kan CW; Bovik AC; Markey MK
    IEEE Trans Inf Technol Biomed; 2009 May; 13(3):300-12. PubMed ID: 19171528
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A PAUC-based estimation technique for disease classification and biomarker selection.
    Schmid M; Hothorn T; Krause F; Rabe C
    Stat Appl Genet Mol Biol; 2012 Oct; 11(5):. PubMed ID: 23033406
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Decision strategies that maximize the area under the LROC curve.
    Khurd P; Gindi G
    IEEE Trans Med Imaging; 2005 Dec; 24(12):1626-36. PubMed ID: 16353373
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.