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 *

145 related articles for article (PubMed ID: 23074363)

  • 1. A ROAD to Classification in High Dimensional Space.
    Fan J; Feng Y; Tong X
    J R Stat Soc Series B Stat Methodol; 2012 Sep; 74(4):745-771. PubMed ID: 23074363
    [TBL] [Abstract][Full Text] [Related]  

  • 2. High Dimensional Classification Using Features Annealed Independence Rules.
    Fan J; Fan Y
    Ann Stat; 2008; 36(6):2605-2637. PubMed ID: 19169416
    [TBL] [Abstract][Full Text] [Related]  

  • 3. An Efficient Greedy Search Algorithm for High-dimensional Linear Discriminant Analysis.
    Yang H; Lin DY; Li Q
    Stat Sin; 2023 May; 33(SI):1343-1364. PubMed ID: 37455685
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Improvement motor imagery EEG classification based on sparse common spatial pattern and regularized discriminant analysis.
    Fu R; Han M; Tian Y; Shi P
    J Neurosci Methods; 2020 Sep; 343():108833. PubMed ID: 32619588
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Ultrahigh-Dimensional Multiclass Linear Discriminant Analysis by Pairwise Sure Independence Screening.
    Pan R; Wang H; Li R
    J Am Stat Assoc; 2016; 111(513):169-179. PubMed ID: 28127109
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Sparsifying the Fisher Linear Discriminant by Rotation.
    Hao N; Dong B; Fan J
    J R Stat Soc Series B Stat Methodol; 2015 Sep; 77(4):827-851. PubMed ID: 26512210
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Regularized Group Sparse Discriminant Analysis for P300-Based Brain-Computer Interface.
    Wu Q; Zhang Y; Liu J; Sun J; Cichocki A; Gao F
    Int J Neural Syst; 2019 Aug; 29(6):1950002. PubMed ID: 30880525
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An adaptive regularization parameter choice strategy for multispectral bioluminescence tomography.
    Feng J; Qin C; Jia K; Han D; Liu K; Zhu S; Yang X; Tian J
    Med Phys; 2011 Nov; 38(11):5933-44. PubMed ID: 22047358
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Optimal Feature Selection in High-Dimensional Discriminant Analysis.
    Kolar M; Liu H
    IEEE Trans Inf Theory; 2015 Feb; 61(2):1063-1083. PubMed ID: 25620807
    [TBL] [Abstract][Full Text] [Related]  

  • 10. OPTIMAL COMPUTATIONAL AND STATISTICAL RATES OF CONVERGENCE FOR SPARSE NONCONVEX LEARNING PROBLEMS.
    Wang Z; Liu H; Zhang T
    Ann Stat; 2014; 42(6):2164-2201. PubMed ID: 25544785
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Graph-based sparse linear discriminant analysis for high-dimensional classification.
    Liu J; Yu G; Liu Y
    J Multivar Anal; 2019 May; 171():250-269. PubMed ID: 31983784
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Optimal number of features as a function of sample size for various classification rules.
    Hua J; Xiong Z; Lowey J; Suh E; Dougherty ER
    Bioinformatics; 2005 Apr; 21(8):1509-15. PubMed ID: 15572470
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Sparse quadratic classification rules via linear dimension reduction.
    Gaynanova I; Wang T
    J Multivar Anal; 2019 Jan; 169():278-299. PubMed ID: 31105355
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Safe RuleFit: Learning Optimal Sparse Rule Model by Meta Safe Screening.
    Kato H; Hanada H; Takeuchi I
    IEEE Trans Pattern Anal Mach Intell; 2023 Feb; 45(2):2330-2343. PubMed ID: 35471868
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Error rate control for classification rules in multiclass mixture models.
    Mary-Huard T; Perduca V; Martin-Magniette ML; Blanchard G
    Int J Biostat; 2022 Nov; 18(2):381-396. PubMed ID: 34845884
    [TBL] [Abstract][Full Text] [Related]  

  • 16. QUADRO: A SUPERVISED DIMENSION REDUCTION METHOD VIA RAYLEIGH QUOTIENT OPTIMIZATION.
    Fan J; Ke ZT; Liu H; Xia L
    Ann Stat; 2015; 43(4):1498-1534. PubMed ID: 26778864
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Incorporating prior knowledge of gene functional groups into regularized discriminant analysis of microarray data.
    Tai F; Pan W
    Bioinformatics; 2007 Dec; 23(23):3170-7. PubMed ID: 17933851
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Locally linear discriminant analysis for multimodally distributed classes for face recognition with a single model image.
    Tae-Kyun Kim ; Kittler J
    IEEE Trans Pattern Anal Mach Intell; 2005 Mar; 27(3):318-327. PubMed ID: 15747788
    [TBL] [Abstract][Full Text] [Related]  

  • 19. On the analysis of glycomics mass spectrometry data via the regularized area under the ROC curve.
    Ye J; Liu H; Kirmiz C; Lebrilla CB; Rocke DM
    BMC Bioinformatics; 2007 Dec; 8():477. PubMed ID: 18076765
    [TBL] [Abstract][Full Text] [Related]  

  • 20. L1-norm kernel discriminant analysis via Bayes error bound optimization for robust feature extraction.
    Zheng W; Lin Z; Wang H
    IEEE Trans Neural Netw Learn Syst; 2014 Apr; 25(4):793-805. PubMed ID: 24807955
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.