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Journal Abstract Search

465 related items for PubMed ID: 19692556

  • 1. TargetMiner: microRNA target prediction with systematic identification of tissue-specific negative examples.
    Bandyopadhyay S, Mitra R.
    Bioinformatics; 2009 Oct 15; 25(20):2625-31. PubMed ID: 19692556
    [Abstract] [Full Text] [Related]

  • 2. 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]

  • 3. Global identification of microRNA-target RNA pairs by parallel analysis of RNA ends.
    German MA, Pillay M, Jeong DH, Hetawal A, Luo S, Janardhanan P, Kannan V, Rymarquis LA, Nobuta K, German R, De Paoli E, Lu C, Schroth G, Meyers BC, Green PJ.
    Nat Biotechnol; 2008 Aug 01; 26(8):941-6. PubMed ID: 18542052
    [Abstract] [Full Text] [Related]

  • 4. 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]

  • 5. Computational identification of novel microRNAs and targets in Brassica napus.
    Xie FL, Huang SQ, Guo K, Xiang AL, Zhu YY, Nie L, Yang ZM.
    FEBS Lett; 2007 Apr 03; 581(7):1464-74. PubMed ID: 17367786
    [Abstract] [Full Text] [Related]

  • 6. 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]

  • 7. A machine learning based method for the prediction of secretory proteins using amino acid composition, their order and similarity-search.
    Garg A, Raghava GP.
    In Silico Biol; 2008 Dec 29; 8(2):129-40. PubMed ID: 18928201
    [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 29; 49(2):127-32. PubMed ID: 20399081
    [Abstract] [Full Text] [Related]

  • 9. miRU: an automated plant miRNA target prediction server.
    Zhang Y.
    Nucleic Acids Res; 2005 Jul 01; 33(Web Server issue):W701-4. PubMed ID: 15980567
    [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. A guide through present computational approaches for the identification of mammalian microRNA targets.
    Sethupathy P, Megraw M, Hatzigeorgiou AG.
    Nat Methods; 2006 Nov 21; 3(11):881-6. PubMed ID: 17060911
    [Abstract] [Full Text] [Related]

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  • 13. 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 21; 98(2):73-8. PubMed ID: 21586321
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  • 17. 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
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  • 20. MicroRNA transcription start site prediction with multi-objective feature selection.
    Bhattacharyya M, Feuerbach L, Bhadra T, Lengauer T, Bandyopadhyay S.
    Stat Appl Genet Mol Biol; 2012 Jan 06; 11(1):Article 6. PubMed ID: 22499686
    [Abstract] [Full Text] [Related]

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