BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

186 related articles for article (PubMed ID: 18973868)

  • 1. Identification of microRNA precursors with support vector machine and string kernel.
    Xu JH; Li F; Sun QF
    Genomics Proteomics Bioinformatics; 2008 Jun; 6(2):121-8. PubMed ID: 18973868
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Predicting human microRNA precursors based on an optimized feature subset generated by GA-SVM.
    Wang Y; Chen X; Jiang W; Li L; Li W; Yang L; Liao M; Lian B; Lv Y; Wang S; Wang S; Li X
    Genomics; 2011 Aug; 98(2):73-8. PubMed ID: 21586321
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Classification of real and pseudo microRNA precursors using local structure-sequence features and support vector machine.
    Xue C; Li F; He T; Liu GP; Li Y; Zhang X
    BMC Bioinformatics; 2005 Dec; 6():310. PubMed ID: 16381612
    [TBL] [Abstract][Full Text] [Related]  

  • 4. De novo SVM classification of precursor microRNAs from genomic pseudo hairpins using global and intrinsic folding measures.
    Ng KL; Mishra SK
    Bioinformatics; 2007 Jun; 23(11):1321-30. PubMed ID: 17267435
    [TBL] [Abstract][Full Text] [Related]  

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

  • 6. 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; 11 Suppl 11(Suppl 11):S11. PubMed ID: 21172046
    [TBL] [Abstract][Full Text] [Related]  

  • 7. plantMirP: an efficient computational program for the prediction of plant pre-miRNA by incorporating knowledge-based energy features.
    Yao Y; Ma C; Deng H; Liu Q; Zhang J; Yi M
    Mol Biosyst; 2016 Oct; 12(10):3124-31. PubMed ID: 27472470
    [TBL] [Abstract][Full Text] [Related]  

  • 8. PMirP: a pre-microRNA prediction method based on structure-sequence hybrid features.
    Zhao D; Wang Y; Luo D; Shi X; Wang L; Xu D; Yu J; Liang Y
    Artif Intell Med; 2010 Jun; 49(2):127-32. PubMed ID: 20399081
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Bioinformatics Study of Structural Patterns in Plant MicroRNA Precursors.
    Miskiewicz J; Tomczyk K; Mickiewicz A; Sarzynska J; Szachniuk M
    Biomed Res Int; 2017; 2017():6783010. PubMed ID: 28280737
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Genetic algorithm-based efficient feature selection for classification of pre-miRNAs.
    Xuan P; Guo MZ; Wang J; Wang CY; Liu XY; Liu Y
    Genet Mol Res; 2011 Apr; 10(2):588-603. PubMed ID: 21491369
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Characteristic comparison between two types of miRNA precursors in metazoan species.
    Zhang X; Song X; Wang H
    Biosystems; 2010 May; 100(2):144-9. PubMed ID: 20211683
    [TBL] [Abstract][Full Text] [Related]  

  • 12. New syntax to describe local continuous structure-sequence information for recognizing new pre-miRNAs.
    Wang M; Song X; Han P; Li W; Jiang B
    J Theor Biol; 2010 May; 264(2):578-84. PubMed ID: 20202471
    [TBL] [Abstract][Full Text] [Related]  

  • 13. MiRFinder: an improved approach and software implementation for genome-wide fast microRNA precursor scans.
    Huang TH; Fan B; Rothschild MF; Hu ZL; Li K; Zhao SH
    BMC Bioinformatics; 2007 Sep; 8():341. PubMed ID: 17868480
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Polymorphisms in human pre-miRNAs.
    Iwai N; Naraba H
    Biochem Biophys Res Commun; 2005 Jun; 331(4):1439-44. PubMed ID: 15883035
    [TBL] [Abstract][Full Text] [Related]  

  • 15. PlantMiRNAPred: efficient classification of real and pseudo plant pre-miRNAs.
    Xuan P; Guo M; Liu X; Huang Y; Li W; Huang Y
    Bioinformatics; 2011 May; 27(10):1368-76. PubMed ID: 21441575
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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; 15(1):423. PubMed ID: 25547126
    [TBL] [Abstract][Full Text] [Related]  

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

  • 18. miRLocator: Machine Learning-Based Prediction of Mature MicroRNAs within Plant Pre-miRNA Sequences.
    Cui H; Zhai J; Ma C
    PLoS One; 2015; 10(11):e0142753. PubMed ID: 26558614
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identification of novel microRNA-like-coding sites on the long-stem microRNA precursors in Arabidopsis.
    Shao C; Wu Q; Qiu J; Jin S; Zhang B; Qian J; Chen M; Meng Y
    Gene; 2013 Sep; 527(2):477-83. PubMed ID: 23850578
    [TBL] [Abstract][Full Text] [Related]  

  • 20. ViralmiR: a support-vector-machine-based method for predicting viral microRNA precursors.
    Huang KY; Lee TY; Teng YC; Chang TH
    BMC Bioinformatics; 2015; 16 Suppl 1(Suppl 1):S9. PubMed ID: 25708359
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.