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 *

105 related articles for article (PubMed ID: 37301250)

  • 1. How missing value imputation is confounded with batch effects and what you can do about it.
    Goh WWB; Hui HWH; Wong L
    Drug Discov Today; 2023 Sep; 28(9):103661. PubMed ID: 37301250
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The importance of batch sensitization in missing value imputation.
    Hui HWH; Kong W; Peng H; Goh WWB
    Sci Rep; 2023 Feb; 13(1):3003. PubMed ID: 36810890
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Dealing with missing values in proteomics data.
    Kong W; Hui HWH; Peng H; Goh WWB
    Proteomics; 2022 Dec; 22(23-24):e2200092. PubMed ID: 36349819
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Robust imputation method with context-aware voting ensemble model for management of water-quality data.
    Choi J; Lim KJ; Ji B
    Water Res; 2023 Sep; 243():120369. PubMed ID: 37499538
    [TBL] [Abstract][Full Text] [Related]  

  • 5. ProJect: a powerful mixed-model missing value imputation method.
    Kong W; Wong BJH; Hui HWH; Lim KP; Wang Y; Wong L; Goh WWB
    Brief Bioinform; 2023 Jul; 24(4):. PubMed ID: 37419612
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Performance of Multiple Imputation Using Modern Machine Learning Methods in Electronic Health Records Data.
    Getz K; Hubbard RA; Linn KA
    Epidemiology; 2023 Mar; 34(2):206-215. PubMed ID: 36722803
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Missing Value Estimation using Clustering and Deep Learning within Multiple Imputation Framework.
    Samad MD; Abrar S; Diawara N
    Knowl Based Syst; 2022 Aug; 249():. PubMed ID: 36159738
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Multiple imputation with missing data indicators.
    Beesley LJ; Bondarenko I; Elliot MR; Kurian AW; Katz SJ; Taylor JM
    Stat Methods Med Res; 2021 Dec; 30(12):2685-2700. PubMed ID: 34643465
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Benchmark for Data Imputation Methods.
    Jäger S; Allhorn A; Bießmann F
    Front Big Data; 2021; 4():693674. PubMed ID: 34308343
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Multiple imputation with missing indicators as proxies for unmeasured variables: simulation study.
    Sperrin M; Martin GP
    BMC Med Res Methodol; 2020 Jul; 20(1):185. PubMed ID: 32640992
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Mechanism-aware imputation: a two-step approach in handling missing values in metabolomics.
    Dekermanjian JP; Shaddox E; Nandy D; Ghosh D; Kechris K
    BMC Bioinformatics; 2022 May; 23(1):179. PubMed ID: 35578165
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Imputation of missing values for electronic health record laboratory data.
    Li J; Yan XS; Chaudhary D; Avula V; Mudiganti S; Husby H; Shahjouei S; Afshar A; Stewart WF; Yeasin M; Zand R; Abedi V
    NPJ Digit Med; 2021 Oct; 4(1):147. PubMed ID: 34635760
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Propensity score matching enables batch-effect-corrected imputation in single-cell RNA-seq analysis.
    Xu X; Yu X; Hu G; Wang K; Zhang J; Li X
    Brief Bioinform; 2022 Jul; 23(4):. PubMed ID: 35821114
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. A heuristic approach to handling missing data in biologics manufacturing databases.
    Mante J; Gangadharan N; Sewell DJ; Turner R; Field R; Oliver SG; Slater N; Dikicioglu D
    Bioprocess Biosyst Eng; 2019 Apr; 42(4):657-663. PubMed ID: 30617419
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Dealing with missing delirium assessments in prospective clinical studies of the critically ill: a simulation study and reanalysis of two delirium studies.
    Raman R; Chen W; Harhay MO; Thompson JL; Ely EW; Pandharipande PP; Patel MB
    BMC Med Res Methodol; 2021 May; 21(1):97. PubMed ID: 33952189
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Application of machine learning missing data imputation techniques in clinical decision making: taking the discharge assessment of patients with spontaneous supratentorial intracerebral hemorrhage as an example.
    Wang H; Tang J; Wu M; Wang X; Zhang T
    BMC Med Inform Decis Mak; 2022 Jan; 22(1):13. PubMed ID: 35027065
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Concordance-Based Batch Effect Correction for Large-Scale Metabolomics.
    Guo F; Lin G; Dong L; Cheng KK; Deng L; Xu X; Raftery D; Dong J
    Anal Chem; 2023 May; 95(18):7220-7228. PubMed ID: 37115661
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Benchmarking missing-values approaches for predictive models on health databases.
    Perez-Lebel A; Varoquaux G; Le Morvan M; Josse J; Poline JB
    Gigascience; 2022 Apr; 11():. PubMed ID: 35426912
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.