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Journal Abstract Search

295 related items for PubMed ID: 17267435

  • 1. De novo SVM classification of precursor microRNAs from genomic pseudo hairpins using global and intrinsic folding measures.
    Ng KL, Mishra SK.
    Bioinformatics; 2007 Jun 01; 23(11):1321-30. PubMed ID: 17267435
    [Abstract] [Full Text] [Related]

  • 2. 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 29; 6():310. PubMed ID: 16381612
    [Abstract] [Full Text] [Related]

  • 3. 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 12; 10(2):588-603. PubMed ID: 21491369
    [Abstract] [Full Text] [Related]

  • 4. 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 12; 98(2):73-8. PubMed ID: 21586321
    [Abstract] [Full Text] [Related]

  • 5. Unique folding of precursor microRNAs: quantitative evidence and implications for de novo identification.
    Ng Kwang Loong S, Mishra SK.
    RNA; 2007 Feb 12; 13(2):170-87. PubMed ID: 17194722
    [Abstract] [Full Text] [Related]

  • 6. Hairpins in a Haystack: recognizing microRNA precursors in comparative genomics data.
    Hertel J, Stadler PF.
    Bioinformatics; 2006 Jul 15; 22(14):e197-202. PubMed ID: 16873472
    [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. 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 15; 49(2):127-32. PubMed ID: 20399081
    [Abstract] [Full Text] [Related]

  • 9. Polymorphisms in human pre-miRNAs.
    Iwai N, Naraba H.
    Biochem Biophys Res Commun; 2005 Jun 17; 331(4):1439-44. PubMed ID: 15883035
    [Abstract] [Full Text] [Related]

  • 10. 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 21; 264(2):578-84. PubMed ID: 20202471
    [Abstract] [Full Text] [Related]

  • 11. 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]

  • 12. Predicting disulfide connectivity from protein sequence using multiple sequence feature vectors and secondary structure.
    Song J, Yuan Z, Tan H, Huber T, Burrage K.
    Bioinformatics; 2007 Dec 01; 23(23):3147-54. PubMed ID: 17942444
    [Abstract] [Full Text] [Related]

  • 13. mirExplorer: detecting microRNAs from genome and next generation sequencing data using the AdaBoost method with transition probability matrix and combined features.
    Guan DG, Liao JY, Qu ZH, Zhang Y, Qu LH.
    RNA Biol; 2011 Dec 01; 8(5):922-34. PubMed ID: 21881406
    [Abstract] [Full Text] [Related]

  • 14. Prediction of both conserved and nonconserved microRNA targets in animals.
    Wang X, El Naqa IM.
    Bioinformatics; 2008 Feb 01; 24(3):325-32. PubMed ID: 18048393
    [Abstract] [Full Text] [Related]

  • 15. miROrtho: computational survey of microRNA genes.
    Gerlach D, Kriventseva EV, Rahman N, Vejnar CE, Zdobnov EM.
    Nucleic Acids Res; 2009 Jan 01; 37(Database issue):D111-7. PubMed ID: 18927110
    [Abstract] [Full Text] [Related]

  • 16. Discovering microRNAs from deep sequencing data using miRDeep.
    Friedländer MR, Chen W, Adamidi C, Maaskola J, Einspanier R, Knespel S, Rajewsky N.
    Nat Biotechnol; 2008 Apr 01; 26(4):407-15. PubMed ID: 18392026
    [Abstract] [Full Text] [Related]

  • 17. MicroRNA identification based on sequence and structure alignment.
    Wang X, Zhang J, Li F, Gu J, He T, Zhang X, Li Y.
    Bioinformatics; 2005 Sep 15; 21(18):3610-4. PubMed ID: 15994192
    [Abstract] [Full Text] [Related]

  • 18. Support vector machines for prediction of dihedral angle regions.
    Zimmermann O, Hansmann UH.
    Bioinformatics; 2006 Dec 15; 22(24):3009-15. PubMed ID: 17005536
    [Abstract] [Full Text] [Related]

  • 19. SVM-HUSTLE--an iterative semi-supervised machine learning approach for pairwise protein remote homology detection.
    Shah AR, Oehmen CS, Webb-Robertson BJ.
    Bioinformatics; 2008 Mar 15; 24(6):783-90. PubMed ID: 18245127
    [Abstract] [Full Text] [Related]

  • 20. A structural alignment kernel for protein structures.
    Qiu J, Hue M, Ben-Hur A, Vert JP, Noble WS.
    Bioinformatics; 2007 May 01; 23(9):1090-8. PubMed ID: 17234638
    [Abstract] [Full Text] [Related]

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