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Items: 1 to 20 of 22

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.

A Meta-Path-Based Prediction Method for Human miRNA-Target Association.

Luo J, Huang C, Ding P.

Biomed Res Int. 2016;2016:7460740. Epub 2016 Sep 15.

4.

Identifying functional cancer-specific miRNA-mRNA interactions in testicular germ cell tumor.

Sedaghat N, Fathy M, Modarressi MH, Shojaie A.

J Theor Biol. 2016 Sep 7;404:82-96. doi: 10.1016/j.jtbi.2016.05.026. Epub 2016 May 25.

5.

miRLAB: An R Based Dry Lab for Exploring miRNA-mRNA Regulatory Relationships.

Le TD, Zhang J, Liu L, Liu H, Li J.

PLoS One. 2015 Dec 30;10(12):e0145386. doi: 10.1371/journal.pone.0145386. eCollection 2015.

6.

MicroRNA-Target Network Inference and Local Network Enrichment Analysis Identify Two microRNA Clusters with Distinct Functions in Head and Neck Squamous Cell Carcinoma.

Sass S, Pitea A, Unger K, Hess J, Mueller NS, Theis FJ.

Int J Mol Sci. 2015 Dec 18;16(12):30204-22. doi: 10.3390/ijms161226230.

7.

Emerging Biosensing Approaches for microRNA Analysis.

Graybill RM, Bailey RC.

Anal Chem. 2016 Jan 5;88(1):431-50. doi: 10.1021/acs.analchem.5b04679. Epub 2015 Dec 21. Review. No abstract available.

8.

Integrating full spectrum of sequence features into predicting functional microRNA-mRNA interactions.

Wang Z, Xu W, Liu Y.

Bioinformatics. 2015 Nov 1;31(21):3529-36. doi: 10.1093/bioinformatics/btv392. Epub 2015 Jun 30.

9.

Integrated approaches to miRNAs target definition: time-series analysis in an osteosarcoma differentiative model.

Grilli A, Sciandra M, Terracciano M, Picci P, Scotlandi K.

BMC Med Genomics. 2015 Jun 30;8:34. doi: 10.1186/s12920-015-0106-0.

10.

Ensemble Methods for MiRNA Target Prediction from Expression Data.

Le TD, Zhang J, Liu L, Li J.

PLoS One. 2015 Jun 26;10(6):e0131627. doi: 10.1371/journal.pone.0131627. eCollection 2015.

11.

DNA microarray integromics analysis platform.

Waller T, Gubała T, Sarapata K, Piwowar M, Jurkowski W.

BioData Min. 2015 Jun 25;8:18. doi: 10.1186/s13040-015-0052-6. eCollection 2015.

12.

Improving miRNA-mRNA interaction predictions.

Tabas-Madrid D, Muniategui A, Sánchez-Caballero I, Martínez-Herrera DJ, Sorzano CO, Rubio A, Pascual-Montano A.

BMC Genomics. 2014;15 Suppl 10:S2. doi: 10.1186/1471-2164-15-S10-S2. Epub 2014 Dec 12.

13.

A Bayesian Framework to Improve MicroRNA Target Prediction by Incorporating External Information.

Wang Z, Xu W, Zhu H, Liu Y.

Cancer Inform. 2014 Nov 18;13(Suppl 7):19-25. doi: 10.4137/CIN.S16348. eCollection 2014.

14.

Integrated analysis of miRNA and mRNA during differentiation of human CD34+ cells delineates the regulatory roles of microRNA in hematopoiesis.

Raghavachari N, Liu P, Barb JJ, Yang Y, Wang R, Nguyen QT, Munson PJ.

Exp Hematol. 2014 Jan;42(1):14-27.e1-2. doi: 10.1016/j.exphem.2013.10.003. Epub 2013 Oct 16.

15.

BayMiR: inferring evidence for endogenous miRNA-induced gene repression from mRNA expression profiles.

Radfar H, Wong W, Morris Q.

BMC Genomics. 2013 Aug 30;14:592. doi: 10.1186/1471-2164-14-592.

16.

Reconstructing dynamic microRNA-regulated interaction networks.

Schulz MH, Pandit KV, Lino Cardenas CL, Ambalavanan N, Kaminski N, Bar-Joseph Z.

Proc Natl Acad Sci U S A. 2013 Sep 24;110(39):15686-91. doi: 10.1073/pnas.1303236110. Epub 2013 Aug 28.

17.

CHO microRNA engineering is growing up: recent successes and future challenges.

Jadhav V, Hackl M, Druz A, Shridhar S, Chung CY, Heffner KM, Kreil DP, Betenbaugh M, Shiloach J, Barron N, Grillari J, Borth N.

Biotechnol Adv. 2013 Dec;31(8):1501-13. doi: 10.1016/j.biotechadv.2013.07.007. Epub 2013 Aug 2. Review.

18.

Joint analysis of expression profiles from multiple cancers improves the identification of microRNA-gene interactions.

Chen X, Slack FJ, Zhao H.

Bioinformatics. 2013 Sep 1;29(17):2137-45. doi: 10.1093/bioinformatics/btt341. Epub 2013 Jun 14.

19.

A new algorithm for integrated analysis of miRNA-mRNA interactions based on individual classification reveals insights into bladder cancer.

Hecker N, Stephan C, Mollenkopf HJ, Jung K, Preissner R, Meyer HA.

PLoS One. 2013 May 24;8(5):e64543. doi: 10.1371/journal.pone.0064543. Print 2013.

20.

ComiR: Combinatorial microRNA target prediction tool.

Coronnello C, Benos PV.

Nucleic Acids Res. 2013 Jul;41(Web Server issue):W159-64. doi: 10.1093/nar/gkt379. Epub 2013 May 22.

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