BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

135 related articles for article (PubMed ID: 33879090)

  • 1. 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]  

  • 2. Comparison of imputation methods for missing production data of dairy cattle.
    You J; Ellis JL; Adams S; Sahar M; Jacobs M; Tulpan D
    Animal; 2023 Dec; 17 Suppl 5():100921. PubMed ID: 37659911
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Detracking Autoencoding Conditional Generative Adversarial Network: Improved Generative Adversarial Network Method for Tabular Missing Value Imputation.
    Liu J; Duan Z; Hu X; Zhong J; Yin Y
    Entropy (Basel); 2024 May; 26(5):. PubMed ID: 38785651
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Prediction Model Performance With Different Imputation Strategies: A Simulation Study Using a North American ICU Registry.
    Steif J; Brant R; Sreepada RS; West N; Murthy S; Görges M
    Pediatr Crit Care Med; 2022 Jan; 23(1):e29-e44. PubMed ID: 34560774
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Deep Learning Methods for Omics Data Imputation.
    Huang L; Song M; Shen H; Hong H; Gong P; Deng HW; Zhang C
    Biology (Basel); 2023 Oct; 12(10):. PubMed ID: 37887023
    [TBL] [Abstract][Full Text] [Related]  

  • 6. VIGAN: Missing View Imputation with Generative Adversarial Networks.
    Shang C; Palmer A; Sun J; Chen KS; Lu J; Bi J
    Proc IEEE Int Conf Big Data; 2017; 2017():766-775. PubMed ID: 29457155
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Comparison of Imputation Strategies for Incomplete Longitudinal Data in Life-Course Epidemiology.
    Shaw C; Wu Y; Zimmerman SC; Hayes-Larson E; Belin TR; Power MC; Glymour MM; Mayeda ER
    Am J Epidemiol; 2023 Nov; 192(12):2075-2084. PubMed ID: 37338987
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Imputation of missing values in lipidomic datasets.
    Frölich N; Klose C; Widén E; Ripatti S; Gerl MJ
    Proteomics; 2024 Apr; ():e2300606. PubMed ID: 38602226
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The proportion of missing data should not be used to guide decisions on multiple imputation.
    Madley-Dowd P; Hughes R; Tilling K; Heron J
    J Clin Epidemiol; 2019 Jun; 110():63-73. PubMed ID: 30878639
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Multiple imputation of incomplete multilevel data using Heckman selection models.
    Muñoz J; Efthimiou O; Audigier V; de Jong VMT; Debray TPA
    Stat Med; 2024 Feb; 43(3):514-533. PubMed ID: 38073512
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Logistic regression vs. predictive mean matching for imputing binary covariates.
    Austin PC; van Buuren S
    Stat Methods Med Res; 2023 Nov; 32(11):2172-2183. PubMed ID: 37750213
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Evaluating the state of the art in missing data imputation for clinical data.
    Luo Y
    Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34882223
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Improved clinical data imputation via classical and quantum determinantal point processes.
    Kazdaghli S; Kerenidis I; Kieckbusch J; Teare P
    Elife; 2024 May; 12():. PubMed ID: 38722146
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Comparing Imputation Procedures for Affymetrix Gene Expression Datasets Using MAQC Datasets.
    Rao SS; Shepherd LA; Bruno AE; Liu S; Miecznikowski JC
    Adv Bioinformatics; 2013; 2013():790567. PubMed ID: 24223587
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A longitudinal transition imputation model for categorical data applied to a large registry dataset.
    Mamouris P; Nassiri V; Verbeke G; Janssens A; Vaes B; Molenberghs G
    Stat Med; 2023 Dec; 42(29):5405-5418. PubMed ID: 37752860
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Improving Outcome Predictions for Patients Receiving Mechanical Circulatory Support by Optimizing Imputation of Missing Values.
    Jaeger BC; Cantor R; Sthanam V; Xie R; Kirklin JK; Rudraraju R
    Circ Cardiovasc Qual Outcomes; 2021 Sep; 14(9):e007071. PubMed ID: 34517728
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Use of Sequential Hot-Deck Imputation for Missing Health Care Systems Data for Population Health Research.
    Chrenka EA; Dehmer SP; Maciosek MV; Essien IJ; Westgard BC
    Med Care; 2024 May; 62(5):319-325. PubMed ID: 38546379
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Evaluating Proteomics Imputation Methods with Improved Criteria.
    Harris L; Fondrie WE; Oh S; Noble WS
    J Proteome Res; 2023 Nov; 22(11):3427-3438. PubMed ID: 37861703
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Method for Incomplete and Imbalanced Data Based on Multivariate Imputation by Chained Equations and Ensemble Learning.
    Li J; Wang Z; Wu L; Qiu S; Zhao H; Lin F; Zhang K
    IEEE J Biomed Health Inform; 2024 May; 28(5):3102-3113. PubMed ID: 38483807
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Concurrent Imputation and Prediction on EHR data using Bi-Directional GANs: Bi-GANs for EHR imputation and prediction.
    Gupta M; Bunnell HT; Phan TT; Beheshti R
    ACM BCB; 2021 Aug; 2021():. PubMed ID: 34604866
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.