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Journal Abstract Search

175 related items for PubMed ID: 22110646

  • 1. 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
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  • 2. 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 15; 27(10):1368-76. PubMed ID: 21441575
    [Abstract] [Full Text] [Related]

  • 3. 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
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  • 6. miRLocator: Machine Learning-Based Prediction of Mature MicroRNAs within Plant Pre-miRNA Sequences.
    Cui H, Zhai J, Ma C.
    PLoS One; 2015 Dec 30; 10(11):e0142753. PubMed ID: 26558614
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  • 7. ASRmiRNA: Abiotic Stress-Responsive miRNA Prediction in Plants by Using Machine Learning Algorithms with Pseudo K-Tuple Nucleotide Compositional Features.
    Meher PK, Begam S, Sahu TK, Gupta A, Kumar A, Kumar U, Rao AR, Singh KP, Dhankher OP.
    Int J Mol Sci; 2022 Jan 30; 23(3):. PubMed ID: 35163534
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  • 8. miRLocator: A Python Implementation and Web Server for Predicting miRNAs from Pre-miRNA Sequences.
    Zhang T, Ju L, Zhai J, Song Y, Song J, Ma C.
    Methods Mol Biol; 2019 Jan 30; 1932():89-97. PubMed ID: 30701493
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  • 9. 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
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  • 11. 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 06; 2015():546763. PubMed ID: 26682221
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  • 12. miRNAFinder: A comprehensive web resource for plant Pre-microRNA classification.
    Lokuge S, Jayasundara S, Ihalagedara P, Kahanda I, Herath D.
    Biosystems; 2022 Jun 06; 215-216():104662. PubMed ID: 35306049
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  • 15. Bioinformatics Study of Structural Patterns in Plant MicroRNA Precursors.
    Miskiewicz J, Tomczyk K, Mickiewicz A, Sarzynska J, Szachniuk M.
    Biomed Res Int; 2017 Jun 06; 2017():6783010. PubMed ID: 28280737
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  • 19. microRPM: a microRNA prediction model based only on plant small RNA sequencing data.
    Tseng KC, Chiang-Hsieh YF, Pai H, Chow CN, Lee SC, Zheng HQ, Kuo PL, Li GZ, Hung YC, Lin NS, Chang WC.
    Bioinformatics; 2018 Apr 01; 34(7):1108-1115. PubMed ID: 29136092
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