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 *

84 related articles for article (PubMed ID: 21431548)

  • 1. miRNA prediction using computational approach.
    Mishra AK; Lobiyal DK
    Adv Exp Med Biol; 2011; 696():75-82. PubMed ID: 21431548
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

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

  • 4. Computational prediction of microRNA genes.
    Hertel J; Langenberger D; Stadler PF
    Methods Mol Biol; 2014; 1097():437-56. PubMed ID: 24639171
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. Prediction of miRNA targets.
    Oulas A; Karathanasis N; Louloupi A; Pavlopoulos GA; Poirazi P; Kalantidis K; Iliopoulos I
    Methods Mol Biol; 2015; 1269():207-29. PubMed ID: 25577381
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Identification of homologous microRNAs in 56 animal genomes.
    Li SC; Chan WC; Hu LY; Lai CH; Hsu CN; Lin WC
    Genomics; 2010 Jul; 96(1):1-9. PubMed ID: 20347954
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Can MiRBase provide positive data for machine learning for the detection of MiRNA hairpins?
    Saçar MD; Hamzeiy H; Allmer J
    J Integr Bioinform; 2013 Mar; 10(2):215. PubMed ID: 23525896
    [TBL] [Abstract][Full Text] [Related]  

  • 12. MiPred: classification of real and pseudo microRNA precursors using random forest prediction model with combined features.
    Jiang P; Wu H; Wang W; Ma W; Sun X; Lu Z
    Nucleic Acids Res; 2007 Jul; 35(Web Server issue):W339-44. PubMed ID: 17553836
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Mirnacle: machine learning with SMOTE and random forest for improving selectivity in pre-miRNA ab initio prediction.
    Marques YB; de Paiva Oliveira A; Ribeiro Vasconcelos AT; Cerqueira FR
    BMC Bioinformatics; 2016 Dec; 17(Suppl 18):474. PubMed ID: 28105918
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Identification of clustered microRNAs using an ab initio prediction method.
    Sewer A; Paul N; Landgraf P; Aravin A; Pfeffer S; Brownstein MJ; Tuschl T; van Nimwegen E; Zavolan M
    BMC Bioinformatics; 2005 Nov; 6():267. PubMed ID: 16274478
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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; 581(7):1464-74. PubMed ID: 17367786
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Distinguishing mirtrons from canonical miRNAs with data exploration and machine learning methods.
    Rorbach G; Unold O; Konopka BM
    Sci Rep; 2018 May; 8(1):7560. PubMed ID: 29765080
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Computational prediction of plant miRNA targets.
    Sun YH; Lu S; Shi R; Chiang VL
    Methods Mol Biol; 2011; 744():175-86. PubMed ID: 21533693
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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; 11(1):Article 6. PubMed ID: 22499686
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification and analysis of novel microRNAs from fragile sites of human cervical cancer: computational and experimental approach.
    Reshmi G; Chandra SS; Babu VJ; Babu PS; Santhi WS; Ramachandran S; Lakshmi S; Nair AS; Pillai MR
    Genomics; 2011 Jun; 97(6):333-40. PubMed ID: 21377523
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.