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 *

140 related articles for article (PubMed ID: 36911105)

  • 1. Incorporating spatial structure into inclusion probabilities for Bayesian variable selection in generalized linear models with the spike-and-slab elastic net.
    Leach JM; Aban I; Yi N;
    J Stat Plan Inference; 2022 Mar; 217():141-152. PubMed ID: 36911105
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The spike-and-slab lasso and scalable algorithm to accommodate multinomial outcomes in variable selection problems.
    Leach JM; Yi N; Aban I; The Alzheimer's Disease Neuroimaging Initiative
    J Appl Stat; 2024; 51(11):2039-2061. PubMed ID: 39157266
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The spike-and-slab elastic net as a classification tool in Alzheimer's disease.
    Leach JM; Edwards LJ; Kana R; Visscher K; Yi N; Aban I;
    PLoS One; 2022; 17(2):e0262367. PubMed ID: 35113902
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The Spike-and-Slab Lasso Generalized Linear Models for Prediction and Associated Genes Detection.
    Tang Z; Shen Y; Zhang X; Yi N
    Genetics; 2017 Jan; 205(1):77-88. PubMed ID: 27799277
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The spike-and-slab quantile LASSO for robust variable selection in cancer genomics studies.
    Liu Y; Ren J; Ma S; Wu C
    Stat Med; 2024 Nov; 43(26):4928-4983. PubMed ID: 39260448
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Generalized cumulative shrinkage process priors with applications to sparse Bayesian factor analysis.
    Frühwirth-Schnatter S
    Philos Trans A Math Phys Eng Sci; 2023 May; 381(2247):20220148. PubMed ID: 36970824
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Bayesian Lesion Estimation with a Structured Spike-and-Slab Prior.
    Menacher A; Nichols TE; Holmes C; Ganjgahi H
    J Am Stat Assoc; 2024; 119(545):66-80. PubMed ID: 39132605
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Spike-and-slab least absolute shrinkage and selection operator generalized additive models and scalable algorithms for high-dimensional data analysis.
    Guo B; Jaeger BC; Rahman AKMF; Long DL; Yi N
    Stat Med; 2022 Sep; 41(20):3899-3914. PubMed ID: 35665524
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Group spike-and-slab lasso generalized linear models for disease prediction and associated genes detection by incorporating pathway information.
    Tang Z; Shen Y; Li Y; Zhang X; Wen J; Qian C; Zhuang W; Shi X; Yi N
    Bioinformatics; 2018 Mar; 34(6):901-910. PubMed ID: 29077795
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Applications of Bayesian shrinkage prior models in clinical research with categorical responses.
    Bhattacharyya A; Pal S; Mitra R; Rai S
    BMC Med Res Methodol; 2022 Apr; 22(1):126. PubMed ID: 35484507
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Bayesian variable selection in linear quantile mixed models for longitudinal data with application to macular degeneration.
    Ji Y; Shi H
    PLoS One; 2020; 15(10):e0241197. PubMed ID: 33104698
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A hierarchical spike-and-slab model for pan-cancer survival using pan-omic data.
    Samorodnitsky S; Hoadley KA; Lock EF
    BMC Bioinformatics; 2022 Jun; 23(1):235. PubMed ID: 35710340
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The reciprocal Bayesian LASSO.
    Mallick H; Alhamzawi R; Paul E; Svetnik V
    Stat Med; 2021 Sep; 40(22):4830-4849. PubMed ID: 34126655
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Fast Marginal Likelihood Estimation of Penalties for Group-Adaptive Elastic Net.
    van Nee MM; van de Brug T; van de Wiel MA
    J Comput Graph Stat; 2023; 32(3):950-960. PubMed ID: 38013849
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Bayesian Joint Spike-and-Slab Graphical Lasso.
    Richard Li Z; McCormick TH; Clark SJ
    Proc Mach Learn Res; 2019 Jun; 97():3877-3885. PubMed ID: 33521648
    [TBL] [Abstract][Full Text] [Related]  

  • 16. From mixed effects modeling to spike and slab variable selection: A Bayesian regression model for group testing data.
    Joyner CN; McMahan CS; Tebbs JM; Bilder CR
    Biometrics; 2020 Sep; 76(3):913-923. PubMed ID: 31729015
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Variable screening methods in spatial infectious disease transmission models.
    Akter T; Deardon R
    Spat Spatiotemporal Epidemiol; 2023 Nov; 47():100622. PubMed ID: 38042533
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Generalized Bayesian Factor Analysis for Integrative Clustering with Applications to Multi-Omics Data.
    Min EJ; Chang C; Long Q
    Proc Int Conf Data Sci Adv Anal; 2018 Oct; 2018():109-119. PubMed ID: 31106307
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Simultaneous parameter estimation and variable selection via the logit-normal continuous analogue of the spike-and-slab prior.
    Thomson W; Jabbari S; Taylor AE; Arlt W; Smith DJ
    J R Soc Interface; 2019 Jan; 16(150):20180572. PubMed ID: 30958174
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An Expectation Conditional Maximization approach for Gaussian graphical models.
    Li ZR; McCormick TH
    J Comput Graph Stat; 2019; 28(4):767-777. PubMed ID: 33033426
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.