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 *

122 related articles for article (PubMed ID: 24718098)

  • 1. Imputing missing values for genetic interaction data.
    Wang Y; Wang L; Yang D; Deng M
    Methods; 2014 Jun; 67(3):269-77. PubMed ID: 24718098
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Modular analysis of the probabilistic genetic interaction network.
    Hou L; Wang L; Qian M; Li D; Tang C; Zhu Y; Deng M; Li F
    Bioinformatics; 2011 Mar; 27(6):853-9. PubMed ID: 21278184
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Data Imputation in Epistatic MAPs by Network-Guided Matrix Completion.
    Žitnik M; Zupan B
    J Comput Biol; 2015 Jun; 22(6):595-608. PubMed ID: 25658751
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Low-Rank and Sparse Matrix Decomposition for Genetic Interaction Data.
    Wang Y; Yang D; Deng M
    Biomed Res Int; 2015; 2015():573956. PubMed ID: 26273633
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification of functional modules using network topology and high-throughput data.
    Ulitsky I; Shamir R
    BMC Syst Biol; 2007 Jan; 1():8. PubMed ID: 17408515
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Towards better accuracy for missing value estimation of epistatic miniarray profiling data by a novel ensemble approach.
    Pan XY; Tian Y; Huang Y; Shen HB
    Genomics; 2011 May; 97(5):257-64. PubMed ID: 21397683
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Dealing with missing values in large-scale studies: microarray data imputation and beyond.
    Aittokallio T
    Brief Bioinform; 2010 Mar; 11(2):253-64. PubMed ID: 19965979
    [TBL] [Abstract][Full Text] [Related]  

  • 10. An integrative imputation method based on multi-omics datasets.
    Lin D; Zhang J; Li J; Xu C; Deng HW; Wang YP
    BMC Bioinformatics; 2016 Jun; 17():247. PubMed ID: 27329642
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Integrative analysis of transcriptomic and proteomic data of Shewanella oneidensis: missing value imputation using temporal datasets.
    Torres-García W; Brown SD; Johnson RH; Zhang W; Runger GC; Meldrum DR
    Mol Biosyst; 2011 Apr; 7(4):1093-104. PubMed ID: 21212895
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. Towards clustering of incomplete microarray data without the use of imputation.
    Kim DW; Lee KY; Lee KH; Lee D
    Bioinformatics; 2007 Jan; 23(1):107-13. PubMed ID: 17077099
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Gene expression complex networks: synthesis, identification, and analysis.
    Lopes FM; Cesar RM; Costa Lda F
    J Comput Biol; 2011 Oct; 18(10):1353-67. PubMed ID: 21548810
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Comparison and evaluation of network clustering algorithms applied to genetic interaction networks.
    Hou L; Wang L; Berg A; Qian M; Zhu Y; Li F; Deng M
    Front Biosci (Elite Ed); 2012 Jan; 4(6):2150-61. PubMed ID: 22202027
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Missing value imputation for gene expression data: computational techniques to recover missing data from available information.
    Liew AW; Law NF; Yan H
    Brief Bioinform; 2011 Sep; 12(5):498-513. PubMed ID: 21156727
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 7.