BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

185 related articles for article (PubMed ID: 19216340)

  • 1. Patient-centered yes/no prognosis using learning machines.
    König IR; Malley JD; Pajevic S; Weimar C; Diener HC; Ziegler A
    Int J Data Min Bioinform; 2008; 2(4):289-341. PubMed ID: 19216340
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification.
    Statnikov A; Wang L; Aliferis CF
    BMC Bioinformatics; 2008 Jul; 9():319. PubMed ID: 18647401
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Machine Learning Principles for Radiology Investigators.
    Borstelmann SM
    Acad Radiol; 2020 Jan; 27(1):13-25. PubMed ID: 31818379
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Pre-operative prediction of surgical morbidity in children: comparison of five statistical models.
    Cooper JN; Wei L; Fernandez SA; Minneci PC; Deans KJ
    Comput Biol Med; 2015 Feb; 57():54-65. PubMed ID: 25528697
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Performance of machine learning methods for ligand-based virtual screening.
    Plewczynski D; Spieser SA; Koch U
    Comb Chem High Throughput Screen; 2009 May; 12(4):358-68. PubMed ID: 19442065
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Machine learning algorithms performed no better than regression models for prognostication in traumatic brain injury.
    Gravesteijn BY; Nieboer D; Ercole A; Lingsma HF; Nelson D; van Calster B; Steyerberg EW;
    J Clin Epidemiol; 2020 Jun; 122():95-107. PubMed ID: 32201256
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A comparison of methods for classifying clinical samples based on proteomics data: a case study for statistical and machine learning approaches.
    Sampson DL; Parker TJ; Upton Z; Hurst CP
    PLoS One; 2011; 6(9):e24973. PubMed ID: 21969867
    [TBL] [Abstract][Full Text] [Related]  

  • 8. [Applications of machine learning in clinical decision support in the omic era].
    Zhao XT; Yang YD; Qu HZ; Fang XD
    Yi Chuan; 2018 Sep; 40(9):693-703. PubMed ID: 30369474
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Probability machines: consistent probability estimation using nonparametric learning machines.
    Malley JD; Kruppa J; Dasgupta A; Malley KG; Ziegler A
    Methods Inf Med; 2012; 51(1):74-81. PubMed ID: 21915433
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Contemporary QSAR classifiers compared.
    Bruce CL; Melville JL; Pickett SD; Hirst JD
    J Chem Inf Model; 2007; 47(1):219-27. PubMed ID: 17238267
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Probability estimation with machine learning methods for dichotomous and multicategory outcome: applications.
    Kruppa J; Liu Y; Diener HC; Holste T; Weimar C; König IR; Ziegler A
    Biom J; 2014 Jul; 56(4):564-83. PubMed ID: 24989843
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Pulse waveform classification using support vector machine with Gaussian time warp edit distance kernel.
    Jia D; Zhang D; Li N
    Comput Math Methods Med; 2014; 2014():947254. PubMed ID: 24660022
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Reviewing ensemble classification methods in breast cancer.
    Hosni M; Abnane I; Idri A; Carrillo de Gea JM; Fernández Alemán JL
    Comput Methods Programs Biomed; 2019 Aug; 177():89-112. PubMed ID: 31319964
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Comparative evaluation of support vector machines for computer aided diagnosis of lung cancer in CT based on a multi-dimensional data set.
    Sun T; Wang J; Li X; Lv P; Liu F; Luo Y; Gao Q; Zhu H; Guo X
    Comput Methods Programs Biomed; 2013 Aug; 111(2):519-24. PubMed ID: 23727300
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Peptide bioinformatics: peptide classification using peptide machines.
    Yang ZR
    Methods Mol Biol; 2008; 458():159-83. PubMed ID: 19065810
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A novel method based on physicochemical properties of amino acids and one class classification algorithm for disease gene identification.
    Yousef A; Charkari NM
    J Biomed Inform; 2015 Aug; 56():300-6. PubMed ID: 26146156
    [TBL] [Abstract][Full Text] [Related]  

  • 17. New Machine Learning Applications to Accelerate Personalized Medicine in Breast Cancer: Rise of the Support Vector Machines.
    Ozer ME; Sarica PO; Arga KY
    OMICS; 2020 May; 24(5):241-246. PubMed ID: 32228365
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Comparison of artificial intelligence algorithms and their ranking for the prediction of genetic merit in sheep.
    Hamadani A; Ganai NA; Mudasir S; Shanaz S; Alam S; Hussain I
    Sci Rep; 2022 Nov; 12(1):18726. PubMed ID: 36333409
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Prediction of Motor Function in Stroke Patients Using Machine Learning Algorithm: Development of Practical Models.
    Kim JK; Choo YJ; Chang MC
    J Stroke Cerebrovasc Dis; 2021 Aug; 30(8):105856. PubMed ID: 34022582
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A new fuzzy support vectors machine for biomedical data classification.
    Czajkowska J; Rudzki M; Czajkowski Z
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():4676-9. PubMed ID: 19163759
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.