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Items: 1 to 20 of 78

1.

Predicting human microRNA-disease associations based on support vector machine.

Jiang Q, Wang G, Jin S, Li Y, Wang Y.

Int J Data Min Bioinform. 2013;8(3):282-93.

PMID:
24417022
2.

MiRTif: a support vector machine-based microRNA target interaction filter.

Yang Y, Wang YP, Li KB.

BMC Bioinformatics. 2008 Dec 12;9 Suppl 12:S4. doi: 10.1186/1471-2105-9-S12-S4.

3.

Prioritization of disease microRNAs through a human phenome-microRNAome network.

Jiang Q, Hao Y, Wang G, Juan L, Zhang T, Teng M, Liu Y, Wang Y.

BMC Syst Biol. 2010 May 28;4 Suppl 1:S2. doi: 10.1186/1752-0509-4-S1-S2.

4.

Similarity-based methods for potential human microRNA-disease association prediction.

Chen H, Zhang Z.

BMC Med Genomics. 2013 Apr 9;6:12. doi: 10.1186/1755-8794-6-12.

5.

TargetMiner: microRNA target prediction with systematic identification of tissue-specific negative examples.

Bandyopadhyay S, Mitra R.

Bioinformatics. 2009 Oct 15;25(20):2625-31. doi: 10.1093/bioinformatics/btp503. Epub 2009 Aug 19.

PMID:
19692556
6.

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.

7.

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
8.

miREE: miRNA recognition elements ensemble.

Reyes-Herrera PH, Ficarra E, Acquaviva A, Macii E.

BMC Bioinformatics. 2011 Nov 24;12:454. doi: 10.1186/1471-2105-12-454.

9.

[MicroRNA target predicition based on SVM and the optimized feature set].

Wang B, Qi X, Wang C, Liu W, Si Y.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2013 Dec;30(6):1213-8. Chinese.

PMID:
24645599
10.

Recursive SVM biomarker selection for early detection of breast cancer in peripheral blood.

Zhang F, Kaufman HL, Deng Y, Drabier R.

BMC Med Genomics. 2013;6 Suppl 1:S4. doi: 10.1186/1755-8794-6-S1-S4. Epub 2013 Jan 23.

11.

Computational identification of human long intergenic non-coding RNAs using a GA-SVM algorithm.

Wang Y, Li Y, Wang Q, Lv Y, Wang S, Chen X, Yu X, Jiang W, Li X.

Gene. 2014 Jan 1;533(1):94-9. doi: 10.1016/j.gene.2013.09.118. Epub 2013 Oct 9.

PMID:
24120395
12.

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. doi: 10.1016/j.ygeno.2011.04.011. Epub 2011 May 14.

13.

[MicroRNA Target Prediction Based on Support Vector Machine Ensemble Classification Algorithm of Under-sampling Technique].

Chen Z, Hong W.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2016 Feb;33(1):72-7. Chinese.

PMID:
27382743
14.

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.

15.

Prediction and validation of association between microRNAs and diseases by multipath methods.

Zeng X, Zhang X, Liao Y, Pan L.

Biochim Biophys Acta. 2016 Nov;1860(11 Pt B):2735-9. doi: 10.1016/j.bbagen.2016.03.016. Epub 2016 Mar 18.

PMID:
26996392
16.

Analysis with support vector machine shows HIV-positive subjects without infectious retinitis have mfERG deficiencies compared to normal eyes.

Goldbaum MH, Falkenstein I, Kozak I, Hao J, Bartsch DU, Sejnowski T, Freeman WR.

Trans Am Ophthalmol Soc. 2008;106:196-204; discussion 204-5.

17.

Prediction of both conserved and nonconserved microRNA targets in animals.

Wang X, El Naqa IM.

Bioinformatics. 2008 Feb 1;24(3):325-32. Epub 2007 Nov 29.

PMID:
18048393
18.

Accurate microRNA target prediction correlates with protein repression levels.

Maragkakis M, Alexiou P, Papadopoulos GL, Reczko M, Dalamagas T, Giannopoulos G, Goumas G, Koukis E, Kourtis K, Simossis VA, Sethupathy P, Vergoulis T, Koziris N, Sellis T, Tsanakas P, Hatzigeorgiou AG.

BMC Bioinformatics. 2009 Sep 18;10:295. doi: 10.1186/1471-2105-10-295.

19.

miTarget: microRNA target gene prediction using a support vector machine.

Kim SK, Nam JW, Rhee JK, Lee WJ, Zhang BT.

BMC Bioinformatics. 2006 Sep 18;7:411.

20.

Support vector machine based prediction of P. falciparum proteasome inhibitors and development of focused library by molecular docking.

Subramaniam S, Mehrotra M, Gupta D.

Comb Chem High Throughput Screen. 2011 Dec;14(10):898-907.

PMID:
21843142

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