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Journal Abstract Search

366 related items for PubMed ID: 27181057

  • 1. Improving classification of mature microRNA by solving class imbalance problem.
    Wang Y, Li X, Tao B.
    Sci Rep; 2016 May 16; 6():25941. PubMed ID: 27181057
    [Abstract] [Full Text] [Related]

  • 2. Adaboost-SVM-based probability algorithm for the prediction of all mature miRNA sites based on structured-sequence features.
    Wang Y, Ru J, Jiang Y, Zhang J.
    Sci Rep; 2019 Feb 06; 9(1):1521. PubMed ID: 30728425
    [Abstract] [Full Text] [Related]

  • 3. Class-imbalanced classifiers for high-dimensional data.
    Lin WJ, Chen JJ.
    Brief Bioinform; 2013 Jan 06; 14(1):13-26. PubMed ID: 22408190
    [Abstract] [Full Text] [Related]

  • 4. Improved Pre-miRNA Classification by Reducing the Effect of Class Imbalance.
    Zhong Y, Xuan P, Han K, Zhang W, Li J.
    Biomed Res Int; 2015 Jan 06; 2015():960108. PubMed ID: 26640803
    [Abstract] [Full Text] [Related]

  • 5. A Distributed Classifier for MicroRNA Target Prediction with Validation Through TCGA Expression Data.
    Ghoshal A, Zhang J, Roth MA, Xia KM, Grama AY, Chaterji S.
    IEEE/ACM Trans Comput Biol Bioinform; 2018 Jan 06; 15(4):1037-1051. PubMed ID: 29993641
    [Abstract] [Full Text] [Related]

  • 6. miRBoost: boosting support vector machines for microRNA precursor classification.
    Tran Vdu T, Tempel S, Zerath B, Zehraoui F, Tahi F.
    RNA; 2015 May 06; 21(5):775-85. PubMed ID: 25795417
    [Abstract] [Full Text] [Related]

  • 7. microPred: effective classification of pre-miRNAs for human miRNA gene prediction.
    Batuwita R, Palade V.
    Bioinformatics; 2009 Apr 15; 25(8):989-95. PubMed ID: 19233894
    [Abstract] [Full Text] [Related]

  • 8. MiRenSVM: towards better prediction of microRNA precursors using an ensemble SVM classifier with multi-loop features.
    Ding J, Zhou S, Guan J.
    BMC Bioinformatics; 2010 Dec 14; 11 Suppl 11(Suppl 11):S11. PubMed ID: 21172046
    [Abstract] [Full Text] [Related]

  • 9. Cancer survival classification using integrated data sets and intermediate information.
    Kim S, Park T, Kon M.
    Artif Intell Med; 2014 Sep 14; 62(1):23-31. PubMed ID: 24997860
    [Abstract] [Full Text] [Related]

  • 10. Effective sample selection for classification of pre-miRNAs.
    Han K.
    Genet Mol Res; 2011 Mar 29; 10(1):506-18. PubMed ID: 21476196
    [Abstract] [Full Text] [Related]

  • 11. [MicroRNA Target Prediction Based on Support Vector Machine Ensemble Classification Algorithm of Under-sampling Technique].
    Chen Z, Hong W.
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2016 Feb 29; 33(1):72-7. PubMed ID: 27382743
    [Abstract] [Full Text] [Related]

  • 12. MatPred: Computational Identification of Mature MicroRNAs within Novel Pre-MicroRNAs.
    Li J, Wang Y, Wang L, Feng W, Luan K, Dai X, Xu C, Meng X, Zhang Q, Liang H.
    Biomed Res Int; 2015 Feb 29; 2015():546763. PubMed ID: 26682221
    [Abstract] [Full Text] [Related]

  • 13. MaturePred: efficient identification of microRNAs within novel plant pre-miRNAs.
    Xuan P, Guo M, Huang Y, Li W, Huang Y.
    PLoS One; 2011 Feb 29; 6(11):e27422. PubMed ID: 22110646
    [Abstract] [Full Text] [Related]

  • 14. Ensemble-based classification approach for micro-RNA mining applied on diverse metagenomic sequences.
    ElGokhy SM, ElHefnawi M, Shoukry A.
    BMC Res Notes; 2014 May 06; 7():286. PubMed ID: 24884968
    [Abstract] [Full Text] [Related]

  • 15. Prediction of plant pre-microRNAs and their microRNAs in genome-scale sequences using structure-sequence features and support vector machine.
    Meng J, Liu D, Sun C, Luan Y.
    BMC Bioinformatics; 2014 Dec 30; 15(1):423. PubMed ID: 25547126
    [Abstract] [Full Text] [Related]

  • 16. Ensemble Clustering Classification compete SVM and One-Class classifiers applied on plant microRNAs Data.
    Yousef M, Khalifa W, AbedAllah L.
    J Integr Bioinform; 2016 Dec 22; 13(5):304. PubMed ID: 28187418
    [Abstract] [Full Text] [Related]

  • 17. Prediction of microRNAs involved in immune system diseases through network based features.
    Prabahar A, Natarajan J.
    J Biomed Inform; 2017 Jan 22; 65():34-45. PubMed ID: 27871823
    [Abstract] [Full Text] [Related]

  • 18. Ab initio identification of human microRNAs based on structure motifs.
    Brameier M, Wiuf C.
    BMC Bioinformatics; 2007 Dec 18; 8():478. PubMed ID: 18088431
    [Abstract] [Full Text] [Related]

  • 19. Multiclass cancer classification using a feature subset-based ensemble from microRNA expression profiles.
    Piao Y, Piao M, Ryu KH.
    Comput Biol Med; 2017 Jan 01; 80():39-44. PubMed ID: 27889431
    [Abstract] [Full Text] [Related]

  • 20. Optimal classifier for imbalanced data using Matthews Correlation Coefficient metric.
    Boughorbel S, Jarray F, El-Anbari M.
    PLoS One; 2017 Jan 01; 12(6):e0177678. PubMed ID: 28574989
    [Abstract] [Full Text] [Related]

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