BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

271 related articles for article (PubMed ID: 25152607)

  • 1. Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models.
    Liu H; Roeder K; Wasserman L
    Adv Neural Inf Process Syst; 2010 Dec; 24(2):1432-1440. PubMed ID: 25152607
    [TBL] [Abstract][Full Text] [Related]  

  • 2. On Penalty Parameter Selection for Estimating Network Models.
    Wysocki AC; Rhemtulla M
    Multivariate Behav Res; 2021; 56(2):288-302. PubMed ID: 31672065
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Stability Approach to Regularization Selection for Reduced-Rank Regression.
    Wen C; Wang Q; Jiang Y
    J Comput Graph Stat; 2023; 32(3):974-984. PubMed ID: 37810194
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Regularization Parameter Selections via Generalized Information Criterion.
    Zhang Y; Li R; Tsai CL
    J Am Stat Assoc; 2010 Mar; 105(489):312-323. PubMed ID: 20676354
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The cross-validated AUC for MCP-logistic regression with high-dimensional data.
    Jiang D; Huang J; Zhang Y
    Stat Methods Med Res; 2013 Oct; 22(5):505-18. PubMed ID: 22127580
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Performance of Akaike Information Criterion and Bayesian Information Criterion in Selecting Partition Models and Mixture Models.
    Liu Q; Charleston MA; Richards SA; Holland BR
    Syst Biol; 2023 May; 72(1):92-105. PubMed ID: 36575813
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Model selection and psychological theory: a discussion of the differences between the Akaike information criterion (AIC) and the Bayesian information criterion (BIC).
    Vrieze SI
    Psychol Methods; 2012 Jun; 17(2):228-43. PubMed ID: 22309957
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Estimation of High-Dimensional Graphical Models Using Regularized Score Matching.
    Lin L; Drton M; Shojaie A
    Electron J Stat; 2016; 10(1):806-854. PubMed ID: 28638498
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Sparse Graphical Models for Functional Connectivity Networks: Best Methods and the Autocorrelation Issue.
    Zhu Y; Cribben I
    Brain Connect; 2018 Apr; 8(3):139-165. PubMed ID: 29634321
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Learning mixed graphical models with separate sparsity parameters and stability-based model selection.
    Sedgewick AJ; Shi I; Donovan RM; Benos PV
    BMC Bioinformatics; 2016 Jun; 17 Suppl 5(Suppl 5):175. PubMed ID: 27294886
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Sparse Regression Incorporating Graphical Structure among Predictors.
    Yu G; Liu Y
    J Am Stat Assoc; 2016; 111(514):707-720. PubMed ID: 29503486
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Penalized likelihood methods for estimation of sparse high-dimensional directed acyclic graphs.
    Shojaie A; Michailidis G
    Biometrika; 2010 Sep; 97(3):519-538. PubMed ID: 22434937
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Bayesian Approach for Graph-constrained Estimation for High-dimensional Regression.
    Sun H; Li H
    Int J Syst Synth Biol; 2010; 1(2):255-272. PubMed ID: 25821387
    [TBL] [Abstract][Full Text] [Related]  

  • 14. BOOTSTRAP INFERENCE FOR NETWORK CONSTRUCTION WITH AN APPLICATION TO A BREAST CANCER MICROARRAY STUDY.
    Li S; Hsu L; Peng J; Wang P
    Ann Appl Stat; 2013 Mar; 7(1):391-417. PubMed ID: 24563684
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A comparative investigation on subspace dimension determination.
    Hu X; Xu L
    Neural Netw; 2004; 17(8-9):1051-9. PubMed ID: 15555851
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Regularized estimation of large-scale gene association networks using graphical Gaussian models.
    Krämer N; Schäfer J; Boulesteix AL
    BMC Bioinformatics; 2009 Nov; 10():384. PubMed ID: 19930695
    [TBL] [Abstract][Full Text] [Related]  

  • 17. The huge Package for High-dimensional Undirected Graph Estimation in R.
    Zhao T; Liu H; Roeder K; Lafferty J; Wasserman L
    J Mach Learn Res; 2012 Apr; 13():1059-1062. PubMed ID: 26834510
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Exact Covariance Thresholding into Connected Components for Large-Scale Graphical Lasso.
    Mazumder R; Hastie T
    J Mach Learn Res; 2012 Mar; 13():781-794. PubMed ID: 25392704
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Model selection criteria for image restoration.
    Seghouane AK
    IEEE Trans Neural Netw; 2009 Aug; 20(8):1357-63. PubMed ID: 19596633
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 14.