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 *

181 related articles for article (PubMed ID: 34934107)

  • 1. Efficient technique of microarray missing data imputation using clustering and weighted nearest neighbour.
    Dubey A; Rasool A
    Sci Rep; 2021 Dec; 11(1):24297. PubMed ID: 34934107
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Advanced methods for missing values imputation based on similarity learning.
    Fouad KM; Ismail MM; Azar AT; Arafa MM
    PeerJ Comput Sci; 2021; 7():e619. PubMed ID: 34395861
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Two-pass imputation algorithm for missing value estimation in gene expression time series.
    Tsiporkova E; Boeva V
    J Bioinform Comput Biol; 2007 Oct; 5(5):1005-22. PubMed ID: 17933008
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Comparative analysis of missing value imputation methods to improve clustering and interpretation of microarray experiments.
    Celton M; Malpertuy A; Lelandais G; de Brevern AG
    BMC Genomics; 2010 Jan; 11():15. PubMed ID: 20056002
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Missing value imputation in high-dimensional phenomic data: imputable or not, and how?
    Liao SG; Lin Y; Kang DD; Chandra D; Bon J; Kaminski N; Sciurba FC; Tseng GC
    BMC Bioinformatics; 2014 Nov; 15(1):346. PubMed ID: 25371041
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A hybrid of whale optimization and late acceptance hill climbing based imputation to enhance classification performance in electronic health records.
    Nagarajan G; Dhinesh Babu LD
    J Biomed Inform; 2019 Jun; 94():103190. PubMed ID: 31054960
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Imputation of Gene Expression Data in Blood Cancer and Its Significance in Inferring Biological Pathways.
    Farswan A; Gupta A; Gupta R; Kaur G
    Front Oncol; 2019; 9():1442. PubMed ID: 31970084
    [No Abstract]   [Full Text] [Related]  

  • 8. 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]  

  • 9. On mining incomplete medical datasets: Ordering imputation and classification.
    Chen CW; Lin WC; Ke SW; Tsai CF; Hu YH
    Technol Health Care; 2015; 23(5):619-25. PubMed ID: 26410122
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Missing value imputation for gene expression data by tailored nearest neighbors.
    Faisal S; Tutz G
    Stat Appl Genet Mol Biol; 2017 Apr; 16(2):95-106. PubMed ID: 28593876
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Combined Interpolation and Weighted
    Daberdaku S; Tavazzi E; Di Camillo B
    J Healthc Inform Res; 2020 Jun; 4(2):174-188. PubMed ID: 35415441
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Collateral missing value imputation: a new robust missing value estimation algorithm for microarray data.
    Sehgal MS; Gondal I; Dooley LS
    Bioinformatics; 2005 May; 21(10):2417-23. PubMed ID: 15731210
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Missing value imputation for microarray gene expression data using histone acetylation information.
    Xiang Q; Dai X; Deng Y; He C; Wang J; Feng J; Dai Z
    BMC Bioinformatics; 2008 May; 9():252. PubMed ID: 18510747
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A real data-driven simulation strategy to select an imputation method for mixed-type trait data.
    May JA; Feng Z; Adamowicz SJ
    PLoS Comput Biol; 2023 Mar; 19(3):e1010154. PubMed ID: 36947561
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Exploiting mutual information for the imputation of static and dynamic mixed-type clinical data with an adaptive k-nearest neighbours approach.
    Tavazzi E; Daberdaku S; Vasta R; Calvo A; ChiĆ² A; Di Camillo B
    BMC Med Inform Decis Mak; 2020 Aug; 20(Suppl 5):174. PubMed ID: 32819346
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A hybrid imputation approach for microarray missing value estimation.
    Li H; Zhao C; Shao F; Li GZ; Wang X
    BMC Genomics; 2015; 16 Suppl 9(Suppl 9):S1. PubMed ID: 26330180
    [TBL] [Abstract][Full Text] [Related]  

  • 17. NS-kNN: a modified k-nearest neighbors approach for imputing metabolomics data.
    Lee JY; Styczynski MP
    Metabolomics; 2018 Nov; 14(12):153. PubMed ID: 30830437
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Missing value imputation for microarray data: a comprehensive comparison study and a web tool.
    Chiu CC; Chan SY; Wang CC; Wu WS
    BMC Syst Biol; 2013; 7 Suppl 6(Suppl 6):S12. PubMed ID: 24565220
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Missing value imputation for epistatic MAPs.
    Ryan C; Greene D; Cagney G; Cunningham P
    BMC Bioinformatics; 2010 Apr; 11():197. PubMed ID: 20406472
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Pragmatic Ensemble Strategy for Missing Values Imputation in Health Records.
    Batra S; Khurana R; Khan MZ; Boulila W; Koubaa A; Srivastava P
    Entropy (Basel); 2022 Apr; 24(4):. PubMed ID: 35455196
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.