These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

98 related articles for article (PubMed ID: 10895519)

  • 1. Three-mode principal components analysis: choosing the numbers of components and sensitivity to local optima.
    Timmerman ME; Kiers HA
    Br J Math Stat Psychol; 2000 May; 53 ( Pt 1)():1-16. PubMed ID: 10895519
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Local Optima in Mixture Modeling.
    Shireman EM; Steinley D; Brusco MJ
    Multivariate Behav Res; 2016; 51(4):466-81. PubMed ID: 27494191
    [TBL] [Abstract][Full Text] [Related]  

  • 3. An Analysis of the Fitness Landscape of Travelling Salesman Problem.
    Tayarani-N MH; Prügel-Bennett A
    Evol Comput; 2016; 24(2):347-84. PubMed ID: 26066806
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Memetic algorithm for real-time combinatorial stochastic simulation optimization problems with performance analysis.
    Horng SC; Lin SY; Lee LH; Chen CH
    IEEE Trans Cybern; 2013 Oct; 43(5):1495-509. PubMed ID: 23893756
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Discriminating between strong and weak structures in three-mode principal component analysis.
    Ceulemans E; Kiers HA
    Br J Math Stat Psychol; 2009 Nov; 62(Pt 3):601-20. PubMed ID: 19055869
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Predicting long-term depression outcome using a three-mode principal component model for depression heterogeneity.
    Monden R; Stegeman A; Conradi HJ; de Jonge P; Wardenaar KJ
    J Affect Disord; 2016 Jan; 189():1-9. PubMed ID: 26398565
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A comparison of three additive tree algorithms that rely on a least-squares loss criterion.
    Smith TJ
    Br J Math Stat Psychol; 1998 Nov; 51 ( Pt 2)():269-88. PubMed ID: 9854946
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Effects of nonlinearities and uncorrelated or correlated errors in realistic simulated data on the prediction abilities of augmented classical least squares and partial least squares.
    Melgaard DK; Haaland DM
    Appl Spectrosc; 2004 Sep; 58(9):1065-73. PubMed ID: 15479523
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Hierarchical functional data with mixed continuous and binary measurements.
    Li H; Staudenmayer J; Carroll RJ
    Biometrics; 2014 Dec; 70(4):802-11. PubMed ID: 25134936
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Advanced fitness landscape analysis and the performance of memetic algorithms.
    Merz P
    Evol Comput; 2004; 12(3):303-25. PubMed ID: 15355603
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A method based on moving least squares for XRII image distortion correction.
    Yan S; Wang C; Ye M
    Med Phys; 2007 Nov; 34(11):4194-206. PubMed ID: 18072483
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Robust imputation method for missing values in microarray data.
    Yoon D; Lee EK; Park T
    BMC Bioinformatics; 2007 May; 8 Suppl 2(Suppl 2):S6. PubMed ID: 17493255
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Methods to assess an exercise intervention trial based on 3-level functional data.
    Li H; Kozey Keadle S; Staudenmayer J; Assaad H; Huang JZ; Carroll RJ
    Biostatistics; 2015 Oct; 16(4):754-71. PubMed ID: 25987650
    [TBL] [Abstract][Full Text] [Related]  

  • 14. An intelligent multi-restart memetic algorithm for box constrained global optimisation.
    Sun J; Garibaldi JM; Krasnogor N; Zhang Q
    Evol Comput; 2013; 21(1):107-47. PubMed ID: 22335546
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Optimal design of minimum mean-square error noise reduction algorithms using the simulated annealing technique.
    Bai MR; Hsieh PJ; Hur KN
    J Acoust Soc Am; 2009 Feb; 125(2):934-43. PubMed ID: 19206870
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Genetic-based EM algorithm for learning Gaussian mixture models.
    Pernkopf F; Bouchaffra D
    IEEE Trans Pattern Anal Mach Intell; 2005 Aug; 27(8):1344-8. PubMed ID: 16119273
    [TBL] [Abstract][Full Text] [Related]  

  • 17. [Double-layer partial least squares method and its application to NIR spectroscopic quantitative analysis].
    Cheng Z
    Guang Pu Xue Yu Guang Pu Fen Xi; 2007 Jun; 27(6):1127-30. PubMed ID: 17763774
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A genetic algorithm using hyper-quadtrees for low-dimensional K-means clustering.
    Laszlo M; Mukherjee S
    IEEE Trans Pattern Anal Mach Intell; 2006 Apr; 28(4):533-43. PubMed ID: 16566503
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Three-part joint modeling methods for complex functional data mixed with zero-and-one-inflated proportions and zero-inflated continuous outcomes with skewness.
    Li H; Staudenmayer J; Wang T; Keadle SK; Carroll RJ
    Stat Med; 2018 Feb; 37(4):611-626. PubMed ID: 29052239
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Automated artifact detection and removal for improved tensor estimation in motion-corrupted DTI data sets using the combination of local binary patterns and 2D partial least squares.
    Zhou Z; Liu W; Cui J; Wang X; Arias D; Wen Y; Bansal R; Hao X; Wang Z; Peterson BS; Xu D
    Magn Reson Imaging; 2011 Feb; 29(2):230-42. PubMed ID: 21129881
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.