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 *

98 related articles for article (PubMed ID: 26298581)

  • 1. A Filter Feature Selection Method Based on MFA Score and Redundancy Excluding and It's Application to Tumor Gene Expression Data Analysis.
    Li J; Su L; Pang Z
    Interdiscip Sci; 2015 Dec; 7(4):391-6. PubMed ID: 26298581
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Gene and sample selection using T-score with sample selection.
    Mundra PA; Rajapakse JC
    J Biomed Inform; 2016 Feb; 59():31-41. PubMed ID: 26556644
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Minimum redundancy maximum relevance feature selection approach for temporal gene expression data.
    Radovic M; Ghalwash M; Filipovic N; Obradovic Z
    BMC Bioinformatics; 2017 Jan; 18(1):9. PubMed ID: 28049413
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Feature selection and tumor classification for microarray data using relaxed Lasso and generalized multi-class support vector machine.
    Kang C; Huo Y; Xin L; Tian B; Yu B
    J Theor Biol; 2019 Feb; 463():77-91. PubMed ID: 30537483
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A novel random forests-based feature selection method for microarray expression data analysis.
    Yao D; Yang J; Zhan X; Zhan X; Xie Z
    Int J Data Min Bioinform; 2015; 13(1):84-101. PubMed ID: 26529910
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Seminal quality prediction using data mining methods.
    Sahoo AJ; Kumar Y
    Technol Health Care; 2014; 22(4):531-45. PubMed ID: 24898862
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An Efficient Feature Subset Selection Algorithm for Classification of Multidimensional Dataset.
    Devaraj S; Paulraj S
    ScientificWorldJournal; 2015; 2015():821798. PubMed ID: 26491718
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Filter versus wrapper gene selection approaches in DNA microarray domains.
    Inza I; Larrañaga P; Blanco R; Cerrolaza AJ
    Artif Intell Med; 2004 Jun; 31(2):91-103. PubMed ID: 15219288
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Heuristic filter feature selection methods for medical datasets.
    Alirezanejad M; Enayatifar R; Motameni H; Nematzadeh H
    Genomics; 2020 Mar; 112(2):1173-1181. PubMed ID: 31276753
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Stable feature selection based on the ensemble L
    Moon M; Nakai K
    BMC Genomics; 2016 Dec; 17(Suppl 13):1026. PubMed ID: 28155664
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Binary matrix shuffling filter for feature selection in neuronal morphology classification.
    Sun C; Dai Z; Zhang H; Li L; Yuan Z
    Comput Math Methods Med; 2015; 2015():626975. PubMed ID: 25893005
    [TBL] [Abstract][Full Text] [Related]  

  • 14. SVM-RFE with MRMR filter for gene selection.
    Mundra PA; Rajapakse JC
    IEEE Trans Nanobioscience; 2010 Mar; 9(1):31-7. PubMed ID: 19884101
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Information-theoretic approaches to SVM feature selection for metagenome read classification.
    Garbarine E; DePasquale J; Gadia V; Polikar R; Rosen G
    Comput Biol Chem; 2011 Jun; 35(3):199-209. PubMed ID: 21704267
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Mixture classification model based on clinical markers for breast cancer prognosis.
    Zeng T; Liu J
    Artif Intell Med; 2010; 48(2-3):129-37. PubMed ID: 20005686
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Diagnosis of Chronic Kidney Disease Based on Support Vector Machine by Feature Selection Methods.
    Polat H; Danaei Mehr H; Cetin A
    J Med Syst; 2017 Apr; 41(4):55. PubMed ID: 28243816
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A fast gene selection method for multi-cancer classification using multiple support vector data description.
    Cao J; Zhang L; Wang B; Li F; Yang J
    J Biomed Inform; 2015 Feb; 53():381-9. PubMed ID: 25549938
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A novel class dependent feature selection method for cancer biomarker discovery.
    Zhou W; Dickerson JA
    Comput Biol Med; 2014 Apr; 47():66-75. PubMed ID: 24561345
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A filter feature selection method based on the Maximal Information Coefficient and Gram-Schmidt Orthogonalization for biomedical data mining.
    Lyu H; Wan M; Han J; Liu R; Wang C
    Comput Biol Med; 2017 Oct; 89():264-274. PubMed ID: 28850898
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.