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 *

206 related articles for article (PubMed ID: 30380746)

  • 1. Classifying Incomplete Gene-Expression Data: Ensemble Learning with Non-Pre-Imputation Feature Filtering and Best-First Search Technique.
    Yan Y; Dai T; Yang M; Du X; Zhang Y; Zhang Y
    Int J Mol Sci; 2018 Oct; 19(11):. PubMed ID: 30380746
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. Effects of replacing the unreliable cDNA microarray measurements on the disease classification based on gene expression profiles and functional modules.
    Wang D; Lv Y; Guo Z; Li X; Li Y; Zhu J; Yang D; Xu J; Wang C; Rao S; Yang B
    Bioinformatics; 2006 Dec; 22(23):2883-9. PubMed ID: 16809389
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Evaluating the impact of multivariate imputation by MICE in feature selection.
    Mera-Gaona M; Neumann U; Vargas-Canas R; López DM
    PLoS One; 2021; 16(7):e0254720. PubMed ID: 34320016
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. DNA microarray data imputation and significance analysis of differential expression.
    Jörnsten R; Wang HY; Welsh WJ; Ouyang M
    Bioinformatics; 2005 Nov; 21(22):4155-61. PubMed ID: 16118262
    [TBL] [Abstract][Full Text] [Related]  

  • 8. FIFS: A data mining method for informative marker selection in high dimensional population genomic data.
    Kavakiotis I; Samaras P; Triantafyllidis A; Vlahavas I
    Comput Biol Med; 2017 Nov; 90():146-154. PubMed ID: 28992453
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The feature selection bias problem in relation to high-dimensional gene data.
    Krawczuk J; Łukaszuk T
    Artif Intell Med; 2016 Jan; 66():63-71. PubMed ID: 26674595
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Impact of missing data imputation methods on gene expression clustering and classification.
    de Souto MC; Jaskowiak PA; Costa IG
    BMC Bioinformatics; 2015 Feb; 16():64. PubMed ID: 25888091
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. GSNFS: Gene subnetwork biomarker identification of lung cancer expression data.
    Doungpan N; Engchuan W; Chan JH; Meechai A
    BMC Med Genomics; 2016 Dec; 9(Suppl 3):70. PubMed ID: 28117655
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Ameliorative missing value imputation for robust biological knowledge inference.
    Sehgal MS; Gondal I; Dooley LS; Coppel R
    J Biomed Inform; 2008 Aug; 41(4):499-514. PubMed ID: 18334307
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Proper imputation of missing values in proteomics datasets for differential expression analysis.
    Liu M; Dongre A
    Brief Bioinform; 2021 May; 22(3):. PubMed ID: 32520347
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Evaluating feature selection strategies for high dimensional, small sample size datasets.
    Golugula A; Lee G; Madabhushi A
    Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():949-52. PubMed ID: 22254468
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A classifier ensemble approach for the missing feature problem.
    Nanni L; Lumini A; Brahnam S
    Artif Intell Med; 2012 May; 55(1):37-50. PubMed ID: 22188722
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. A comparative study of evaluating missing value imputation methods in label-free proteomics.
    Jin L; Bi Y; Hu C; Qu J; Shen S; Wang X; Tian Y
    Sci Rep; 2021 Jan; 11(1):1760. PubMed ID: 33469060
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An efficient statistical feature selection approach for classification of gene expression data.
    Chandra B; Gupta M
    J Biomed Inform; 2011 Aug; 44(4):529-35. PubMed ID: 21241823
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.