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Items: 6

1.

Micro-RNA Feedback Loops Modulating the Calcineurin/NFAT Signaling Pathway.

Kannambath S.

Noncoding RNA. 2016 May 20;2(2). pii: E3. doi: 10.3390/ncrna2020003.

2.

mirDIP 4.1-integrative database of human microRNA target predictions.

Tokar T, Pastrello C, Rossos AEM, Abovsky M, Hauschild AC, Tsay M, Lu R, Jurisica I.

Nucleic Acids Res. 2018 Jan 4;46(D1):D360-D370. doi: 10.1093/nar/gkx1144.

3.

Novel Modulators of Asthma and Allergy: Exosomes and MicroRNAs.

Sastre B, Cañas JA, Rodrigo-Muñoz JM, Del Pozo V.

Front Immunol. 2017 Jul 21;8:826. doi: 10.3389/fimmu.2017.00826. eCollection 2017. Review.

4.

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 15;17(Suppl 18):474. doi: 10.1186/s12859-016-1343-8. Erratum in: BMC Bioinformatics. 2017 Feb 17;18(1):113.

5.

Prediction of microRNA target genes using an efficient genetic algorithm-based decision tree.

Rabiee-Ghahfarrokhi B, Rafiei F, Niknafs AA, Zamani B.

FEBS Open Bio. 2015 Oct 19;5:877-84. doi: 10.1016/j.fob.2015.10.003. eCollection 2015.

6.

Bioinformatic tools for microRNA dissection.

Akhtar MM, Micolucci L, Islam MS, Olivieri F, Procopio AD.

Nucleic Acids Res. 2016 Jan 8;44(1):24-44. doi: 10.1093/nar/gkv1221. Epub 2015 Nov 17. Review.

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