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 *

119 related articles for article (PubMed ID: 22254468)

  • 1. 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]  

  • 2. Cuckoo search optimisation for feature selection in cancer classification: a new approach.
    Gunavathi C; Premalatha K
    Int J Data Min Bioinform; 2015; 13(3):248-65. PubMed ID: 26547979
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Toward a measure of classification complexity in gene expression signatures.
    Kamath V; Yeatman TJ; Eschrich SA
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():5704-7. PubMed ID: 19164012
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Bayesian network learning with feature abstraction for gene-drug dependency analysis.
    Chang JH; Hwang KB; Oh SJ; Zhang BT
    J Bioinform Comput Biol; 2005 Feb; 3(1):61-77. PubMed ID: 15751112
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Supervised, Unsupervised, and Semi-Supervised Feature Selection: A Review on Gene Selection.
    Ang JC; Mirzal A; Haron H; Hamed HN
    IEEE/ACM Trans Comput Biol Bioinform; 2016; 13(5):971-989. PubMed ID: 26390495
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Feature selection and nearest centroid classification for protein mass spectrometry.
    Levner I
    BMC Bioinformatics; 2005 Mar; 6():68. PubMed ID: 15788095
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Small, fuzzy and interpretable gene expression based classifiers.
    Vinterbo SA; Kim EY; Ohno-Machado L
    Bioinformatics; 2005 May; 21(9):1964-70. PubMed ID: 15661797
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A comparative study of feature selection and multiclass classification methods for tissue classification based on gene expression.
    Li T; Zhang C; Ogihara M
    Bioinformatics; 2004 Oct; 20(15):2429-37. PubMed ID: 15087314
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A Multiobjective Genetic Programming-Based Ensemble for Simultaneous Feature Selection and Classification.
    Nag K; Pal NR
    IEEE Trans Cybern; 2016 Feb; 46(2):499-510. PubMed ID: 25769178
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Robust feature selection for microarray data based on multicriterion fusion.
    Yang F; Mao KZ
    IEEE/ACM Trans Comput Biol Bioinform; 2011; 8(4):1080-92. PubMed ID: 21566255
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Gene expression microarray classification using PCA-BEL.
    Lotfi E; Keshavarz A
    Comput Biol Med; 2014 Nov; 54():180-7. PubMed ID: 25282708
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Using fuzzy association rule mining in cancer classification.
    Mahmoodian H; Hamiruce Marhaban M; Abdulrahim R; Rosli R; Saripan I
    Australas Phys Eng Sci Med; 2011 Apr; 34(1):41-54. PubMed ID: 21327594
    [TBL] [Abstract][Full Text] [Related]  

  • 14. An Extensive Empirical Comparison of Probabilistic Hierarchical Classifiers in Datasets of Ageing-Related Genes.
    Fabris F; Freitas AA; Tullet JM
    IEEE/ACM Trans Comput Biol Bioinform; 2016; 13(6):1045-1058. PubMed ID: 26661786
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Biomarker discovery across annotated and unannotated microarray datasets using semi-supervised learning.
    Harris C; Ghaffari N
    BMC Genomics; 2008 Sep; 9 Suppl 2(Suppl 2):S7. PubMed ID: 18831798
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A combination of rough-based feature selection and RBF neural network for classification using gene expression data.
    Chiang JH; Ho SH
    IEEE Trans Nanobioscience; 2008 Mar; 7(1):91-9. PubMed ID: 18334459
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Multiple SVM-RFE for gene selection in cancer classification with expression data.
    Duan KB; Rajapakse JC; Wang H; Azuaje F
    IEEE Trans Nanobioscience; 2005 Sep; 4(3):228-34. PubMed ID: 16220686
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Chaotic genetic algorithm for gene selection and classification problems.
    Chuang LY; Yang CS; Li JC; Yang CH
    OMICS; 2009 Oct; 13(5):407-20. PubMed ID: 19594377
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Robust and accurate cancer classification with gene expression profiling.
    Li H; Zhang K; Jiang T
    Proc IEEE Comput Syst Bioinform Conf; 2005; ():310-21. PubMed ID: 16447988
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Fuzzy-rough-neural-based f-information for gene selection and sample classification.
    Kumar PG; Rani C; Mahibha D; Victoire TA
    Int J Data Min Bioinform; 2015; 11(1):31-52. PubMed ID: 26255375
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.