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Items: 1 to 20 of 103

1.

Prediction of pre-miRNA with multiple stem-loops using pruning algorithm.

Song X, Wang M, Chen YP, Wang H, Han P, Sun H.

Comput Biol Med. 2013 Jun;43(5):409-16. doi: 10.1016/j.compbiomed.2013.02.003. Epub 2013 Mar 15.

PMID:
23566387
2.

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. doi: 10.1016/j.jtbi.2010.02.037. Epub 2010 Mar 2.

PMID:
20202471
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;15:423. doi: 10.1186/s12859-014-0423-x.

4.

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 14;11 Suppl 11:S11. doi: 10.1186/1471-2105-11-S11-S11.

5.

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. doi: 10.4238/vol10-2gmr969.

6.

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 17;8:341.

7.
8.

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. doi: 10.1371/journal.pone.0027422. Epub 2011 Nov 16.

9.

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. doi: 10.1016/j.artmed.2010.03.004. Epub 2010 Apr 15.

PMID:
20399081
10.

Integrated sequence-structure motifs suffice to identify microRNA precursors.

Liu X, He S, Skogerbø G, Gong F, Chen R.

PLoS One. 2012;7(3):e32797. doi: 10.1371/journal.pone.0032797. Epub 2012 Mar 15.

11.

New support vector machine-based method for microRNA target prediction.

Li L, Gao Q, Mao X, Cao Y.

Genet Mol Res. 2014 Jun 9;13(2):4165-76. doi: 10.4238/2014.June.9.3.

12.

microPred: effective classification of pre-miRNAs for human miRNA gene prediction.

Batuwita R, Palade V.

Bioinformatics. 2009 Apr 15;25(8):989-95. doi: 10.1093/bioinformatics/btp107. Epub 2009 Feb 20.

PMID:
19233894
13.

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. doi: 10.1093/bioinformatics/btr153. Epub 2011 Mar 26.

PMID:
21441575
14.

Effective sample selection for classification of pre-miRNAs.

Han K.

Genet Mol Res. 2011 Mar 29;10(1):506-18. doi: 10.4238/vol10-1gmr1054.

15.

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. Epub 2007 Jun 6.

16.

Predicting miRNA-mediated gene silencing mode based on miRNA-target duplex features.

Song X, Cheng L, Zhou T, Guo X, Zhang X, Chen YP, Han P, Sha J.

Comput Biol Med. 2012 Jan;42(1):1-7. doi: 10.1016/j.compbiomed.2011.10.001. Epub 2011 Oct 29.

PMID:
22041293
17.

MatureBayes: a probabilistic algorithm for identifying the mature miRNA within novel precursors.

Gkirtzou K, Tsamardinos I, Tsakalides P, Poirazi P.

PLoS One. 2010 Aug 6;5(8):e11843. doi: 10.1371/journal.pone.0011843.

18.

Combination of measures distinguishes pre-miRNAs from other stem-loops in the genome of the newly sequenced Anopheles darlingi.

Mendes ND, Freitas AT, Vasconcelos AT, Sagot MF.

BMC Genomics. 2010 Sep 29;11:529. doi: 10.1186/1471-2164-11-529.

19.

In silico miRNA prediction in metazoan genomes: balancing between sensitivity and specificity.

van der Burgt A, Fiers MW, Nap JP, van Ham RC.

BMC Genomics. 2009 Apr 30;10:204. doi: 10.1186/1471-2164-10-204.

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 6;11(1):Article 6. doi: 10.2202/1544-6115.1743.

PMID:
22499686

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