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 *

156 related articles for article (PubMed ID: 22166097)

  • 1. Leveraging domain information to restructure biological prediction.
    Nan X; Fu G; Zhao Z; Liu S; Patel RY; Liu H; Daga PR; Doerksen RJ; Dang X; Chen Y; Wilkins D
    BMC Bioinformatics; 2011 Oct; 12 Suppl 10(Suppl 10):S22. PubMed ID: 22166097
    [TBL] [Abstract][Full Text] [Related]  

  • 2. R-Ensembler: A greedy rough set based ensemble attribute selection algorithm with kNN imputation for classification of medical data.
    Bania RK; Halder A
    Comput Methods Programs Biomed; 2020 Feb; 184():105122. PubMed ID: 31622857
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Rough set based information theoretic approach for clustering uncertain categorical data.
    Uddin J; Ghazali R; H Abawajy J; Shah H; Husaini NA; Zeb A
    PLoS One; 2022; 17(5):e0265190. PubMed ID: 35559954
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Information-theoretic semi-supervised metric learning via entropy regularization.
    Niu G; Dai B; Yamada M; Sugiyama M
    Neural Comput; 2014 Aug; 26(8):1717-62. PubMed ID: 24877733
    [TBL] [Abstract][Full Text] [Related]  

  • 5. An Attribute Reduction Method Using Neighborhood Entropy Measures in Neighborhood Rough Sets.
    Sun L; Zhang X; Xu J; Zhang S
    Entropy (Basel); 2019 Feb; 21(2):. PubMed ID: 33266871
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A conditional entropy minimization criterion for dimensionality reduction and multiple kernel learning.
    Hino H; Murata N
    Neural Comput; 2010 Nov; 22(11):2887-923. PubMed ID: 20804381
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Framework for Optimal Attribute Evaluation and Selection in Hesitant Fuzzy Environment Based on Enhanced Ordered Weighted Entropy Approach for Medical Dataset.
    A DR; D B; R G
    J Biomed Phys Eng; 2019 Jun; 9(3):327-334. PubMed ID: 31341878
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Unified Entropy-Based Distance Metric for Ordinal-and-Nominal-Attribute Data Clustering.
    Zhang Y; Cheung YM; Tan KC
    IEEE Trans Neural Netw Learn Syst; 2020 Jan; 31(1):39-52. PubMed ID: 30908240
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Neighborhood Rough Sets-Based Attribute Reduction Method Using Lebesgue and Entropy Measures.
    Sun L; Wang L; Xu J; Zhang S
    Entropy (Basel); 2019 Feb; 21(2):. PubMed ID: 33266854
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Coupled attribute similarity learning on categorical data.
    Wang C; Dong X; Zhou F; Cao L; Chi CH
    IEEE Trans Neural Netw Learn Syst; 2015 Apr; 26(4):781-97. PubMed ID: 25794382
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The k partition-distance problem.
    Chen YH
    J Comput Biol; 2012 Apr; 19(4):404-17. PubMed ID: 22468708
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Cumulative voting consensus method for partitions with variable number of clusters.
    Ayad HG; Kamel MS
    IEEE Trans Pattern Anal Mach Intell; 2008 Jan; 30(1):160-73. PubMed ID: 18000332
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of the Framingham Risk Score by an Entropy-Based Rule Model for Cardiovascular Disease.
    Chen YS; Cheng CH; Chen SF; Jhuang JY
    Entropy (Basel); 2020 Dec; 22(12):. PubMed ID: 33322122
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Semisupervised learning for a hybrid generative/discriminative classifier based on the maximum entropy principle.
    Fujino A; Ueda N; Saito K
    IEEE Trans Pattern Anal Mach Intell; 2008 Mar; 30(3):424-37. PubMed ID: 18195437
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A greedy algorithm for supervised discretization.
    Butterworth R; Simovici DA; Santos GS; Ohno-Machado L
    J Biomed Inform; 2004 Aug; 37(4):285-92. PubMed ID: 15465481
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Feature Selection Using Approximate Conditional Entropy Based on Fuzzy Information Granule for Gene Expression Data Classification.
    Zhang H
    Front Genet; 2021; 12():631505. PubMed ID: 33859666
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Relevant, irredundant feature selection and noisy example elimination.
    Lashkia GV; Anthony L
    IEEE Trans Syst Man Cybern B Cybern; 2004 Apr; 34(2):888-97. PubMed ID: 15376837
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Development of Supervised Learning Predictive Models for Highly Non-linear Biological, Biomedical, and General Datasets.
    Medina-Ortiz D; Contreras S; Quiroz C; Olivera-Nappa Á
    Front Mol Biosci; 2020; 7():13. PubMed ID: 32118039
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Gene selection for tumor classification using neighborhood rough sets and entropy measures.
    Chen Y; Zhang Z; Zheng J; Ma Y; Xue Y
    J Biomed Inform; 2017 Mar; 67():59-68. PubMed ID: 28215562
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors.
    Boluki S; Esfahani MS; Qian X; Dougherty ER
    BMC Bioinformatics; 2017 Dec; 18(Suppl 14):552. PubMed ID: 29297278
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.