BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

137 related articles for article (PubMed ID: 27326311)

  • 21. A novel framework based on the multi-label classification for dynamic selection of classifiers.
    Elmi J; Eftekhari M; Mehrpooya A; Ravari MR
    Int J Mach Learn Cybern; 2023; 14(6):2137-2154. PubMed ID: 36618577
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers.
    Deist TM; Dankers FJWM; Valdes G; Wijsman R; Hsu IC; Oberije C; Lustberg T; van Soest J; Hoebers F; Jochems A; El Naqa I; Wee L; Morin O; Raleigh DR; Bots W; Kaanders JH; Belderbos J; Kwint M; Solberg T; Monshouwer R; Bussink J; Dekker A; Lambin P
    Med Phys; 2018 Jul; 45(7):3449-3459. PubMed ID: 29763967
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Improved linear classifier model with Nyström.
    Zhu C; Ji X; Chen C; Zhou R; Wei L; Zhang X
    PLoS One; 2018; 13(11):e0206798. PubMed ID: 30395624
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Multicategory angle-based large-margin classification.
    Zhang C; Liu Y
    Biometrika; 2014 Sep; 101(3):625-640. PubMed ID: 26538663
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Hierarchical fusion of features and classifier decisions for Alzheimer's disease diagnosis.
    Liu M; Zhang D; Shen D;
    Hum Brain Mapp; 2014 Apr; 35(4):1305-19. PubMed ID: 23417832
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging data.
    Zhou T; Thung KH; Liu M; Shi F; Zhang C; Shen D
    Med Image Anal; 2020 Feb; 60():101630. PubMed ID: 31927474
    [TBL] [Abstract][Full Text] [Related]  

  • 27. An active learning based classification strategy for the minority class problem: application to histopathology annotation.
    Doyle S; Monaco J; Feldman M; Tomaszewski J; Madabhushi A
    BMC Bioinformatics; 2011 Oct; 12():424. PubMed ID: 22034914
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Separating and reintegrating latent variables to improve classification of genomic data.
    Payne NY; Gagnon-Bartsch JA
    Biostatistics; 2022 Oct; 23(4):1133-1149. PubMed ID: 35094048
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Comparison of feature selection and classification for MALDI-MS data.
    Liu Q; Sung AH; Qiao M; Chen Z; Yang JY; Yang MQ; Huang X; Deng Y
    BMC Genomics; 2009 Jul; 10 Suppl 1(Suppl 1):S3. PubMed ID: 19594880
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Assessing Generalization Ability of Majority Vote Point Classifiers.
    Sevakula RK; Verma NK
    IEEE Trans Neural Netw Learn Syst; 2017 Dec; 28(12):2985-2997. PubMed ID: 28113524
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Classification of
    Reinartz M; Luckett ES; Schaeverbeke J; De Meyer S; Adamczuk K; Thal DR; Van Laere K; Dupont P; Vandenberghe R
    Eur J Nucl Med Mol Imaging; 2022 Sep; 49(11):3772-3786. PubMed ID: 35522322
    [TBL] [Abstract][Full Text] [Related]  

  • 32.
    Vigneron V; Maaref H
    Entropy (Basel); 2019 Apr; 21(5):. PubMed ID: 33267154
    [TBL] [Abstract][Full Text] [Related]  

  • 33. An ensemble heterogeneous classification methodology for discovering health-related knowledge in social media messages.
    Tuarob S; Tucker CS; Salathe M; Ram N
    J Biomed Inform; 2014 Jun; 49():255-68. PubMed ID: 24642081
    [TBL] [Abstract][Full Text] [Related]  

  • 34. A probabilistic classifier ensemble weighting scheme based on cross-validated accuracy estimates.
    Large J; Lines J; Bagnall A
    Data Min Knowl Discov; 2019; 33(6):1674-1709. PubMed ID: 31632184
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Merits of random forests emerge in evaluation of chemometric classifiers by external validation.
    Scott IM; Lin W; Liakata M; Wood JE; Vermeer CP; Allaway D; Ward JL; Draper J; Beale MH; Corol DI; Baker JM; King RD
    Anal Chim Acta; 2013 Nov; 801():22-33. PubMed ID: 24139571
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Classifier design for computer-aided diagnosis: effects of finite sample size on the mean performance of classical and neural network classifiers.
    Chan HP; Sahiner B; Wagner RF; Petrick N
    Med Phys; 1999 Dec; 26(12):2654-68. PubMed ID: 10619251
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Ensemble sparse classification of Alzheimer's disease.
    Liu M; Zhang D; Shen D;
    Neuroimage; 2012 Apr; 60(2):1106-16. PubMed ID: 22270352
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Probing machine-learning classifiers using noise, bubbles, and reverse correlation.
    Thoret E; Andrillon T; Léger D; Pressnitzer D
    J Neurosci Methods; 2021 Oct; 362():109297. PubMed ID: 34320410
    [TBL] [Abstract][Full Text] [Related]  

  • 39. LESS: a model-based classifier for sparse subspaces.
    Veenman CJ; Tax DM
    IEEE Trans Pattern Anal Mach Intell; 2005 Sep; 27(9):1496-500. PubMed ID: 16173192
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Evolution and generalization of a single neurone: II. Complexity of statistical classifiers and sample size considerations.
    Raudys S
    Neural Netw; 1998 Mar; 11(2):297-313. PubMed ID: 12662839
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.