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 *

134 related articles for article (PubMed ID: 38370342)

  • 1. MISNN: Multiple Imputation via Semi-parametric Neural Networks.
    Bu Z; Dai Z; Zhang Y; Long Q
    Adv Knowl Discov Data Min; 2023 May; 13935():430-442. PubMed ID: 38370342
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data.
    Dai Z; Bu Z; Long Q
    Proc Mach Learn Res; 2022 Dec; 189():265-279. PubMed ID: 37457613
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Multiple Imputation via Generative Adversarial Network for High-dimensional Blockwise Missing Value Problems.
    Dai Z; Bu Z; Long Q
    Proc Int Conf Mach Learn Appl; 2021 Dec; 2021():791-798. PubMed ID: 35169788
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Multiple imputation in the presence of high-dimensional data.
    Zhao Y; Long Q
    Stat Methods Med Res; 2016 Oct; 25(5):2021-2035. PubMed ID: 24275026
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Multiple Imputation for General Missing Data Patterns in the Presence of High-dimensional Data.
    Deng Y; Chang C; Ido MS; Long Q
    Sci Rep; 2016 Feb; 6():21689. PubMed ID: 26868061
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Multiple imputation for longitudinal data using Bayesian lasso imputation model.
    Yamaguchi Y; Yoshida S; Misumi T; Maruo K
    Stat Med; 2022 Mar; 41(6):1042-1058. PubMed ID: 35064581
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Missing data imputation with adversarially-trained graph convolutional networks.
    Spinelli I; Scardapane S; Uncini A
    Neural Netw; 2020 Sep; 129():249-260. PubMed ID: 32563022
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Microarray Missing Value Imputation: A Regularized Local Learning Method.
    Wang A; Chen Y; An N; Yang J; Li L; Jiang L
    IEEE/ACM Trans Comput Biol Bioinform; 2018 Feb; ():. PubMed ID: 29994588
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An imputation-regularized optimization algorithm for high dimensional missing data problems and beyond.
    Liang F; Jia B; Xue J; Li Q; Luo Y
    J R Stat Soc Series B Stat Methodol; 2018 Nov; 80(5):899-926. PubMed ID: 31130816
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Missing data imputation, prediction, and feature selection in diagnosis of vaginal prolapse.
    Fan M; Peng X; Niu X; Cui T; He Q
    BMC Med Res Methodol; 2023 Nov; 23(1):259. PubMed ID: 37932660
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Variable selection with missing data in both covariates and outcomes: Imputation and machine learning.
    Hu L; Joyce Lin JY; Ji J
    Stat Methods Med Res; 2021 Dec; 30(12):2651-2671. PubMed ID: 34696650
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Generative adversarial networks for imputing missing data for big data clinical research.
    Dong W; Fong DYT; Yoon JS; Wan EYF; Bedford LE; Tang EHM; Lam CLK
    BMC Med Res Methodol; 2021 Apr; 21(1):78. PubMed ID: 33879090
    [TBL] [Abstract][Full Text] [Related]  

  • 13. RIFLE: Imputation and Robust Inference from Low Order Marginals.
    Baharlouei S; Ogudu K; Suen SC; Razaviyayn M
    Transact Mach Learn Res; 2023 Sep; 2023():. PubMed ID: 38550611
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A wide range of missing imputation approaches in longitudinal data: a simulation study and real data analysis.
    Jahangiri M; Kazemnejad A; Goldfeld KS; Daneshpour MS; Mostafaei S; Khalili D; Moghadas MR; Akbarzadeh M
    BMC Med Res Methodol; 2023 Jul; 23(1):161. PubMed ID: 37415114
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Variable selection models based on multiple imputation with an application for predicting median effective dose and maximum effect.
    Wan Y; Datta S; Conklin DJ; Kong M
    J Stat Comput Simul; 2015; 85(9):1902-1916. PubMed ID: 26412909
    [TBL] [Abstract][Full Text] [Related]  

  • 16. SuperMICE: An Ensemble Machine Learning Approach to Multiple Imputation by Chained Equations.
    Laqueur HS; Shev AB; Kagawa RMC
    Am J Epidemiol; 2022 Feb; 191(3):516-525. PubMed ID: 34788362
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Multiple imputation with compatibility for high-dimensional data.
    Zahid FM; Faisal S; Heumann C
    PLoS One; 2021; 16(7):e0254112. PubMed ID: 34237092
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Analyzing evidence-based falls prevention data with significant missing information using variable selection after multiple imputation.
    Cheng Y; Li Y; Lee Smith M; Li C; Shen Y
    J Appl Stat; 2023; 50(3):724-743. PubMed ID: 36819083
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Handling missing rows in multi-omics data integration: multiple imputation in multiple factor analysis framework.
    Voillet V; Besse P; Liaubet L; San Cristobal M; González I
    BMC Bioinformatics; 2016 Oct; 17(1):402. PubMed ID: 27716030
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Model selection of generalized estimating equations with multiply imputed longitudinal data.
    Shen CW; Chen YH
    Biom J; 2013 Nov; 55(6):899-911. PubMed ID: 23970494
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.