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Items: 18

1.

Improved Pre-miRNAs Identification Through Mutual Information of Pre-miRNA Sequences and Structures.

Fu X, Zhu W, Cai L, Liao B, Peng L, Chen Y, Yang J.

Front Genet. 2019 Feb 25;10:119. doi: 10.3389/fgene.2019.00119. eCollection 2019.

2.

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 6;9(1):1521. doi: 10.1038/s41598-018-38048-7.

3.

Identification of pre-microRNAs by characterizing their sequence order evolution information and secondary structure graphs.

Ma Y, Yu Z, Han G, Li J, Anh V.

BMC Bioinformatics. 2018 Dec 31;19(Suppl 19):521. doi: 10.1186/s12859-018-2518-2.

4.

DNA Oncogenic Virus-Induced Oxidative Stress, Genomic Damage, and Aberrant Epigenetic Alterations.

Kgatle MM, Spearman CW, Kalla AA, Hairwadzi HN.

Oxid Med Cell Longev. 2017;2017:3179421. doi: 10.1155/2017/3179421. Epub 2017 Jun 27. Review.

5.

IpiRId: Integrative approach for piRNA prediction using genomic and epigenomic data.

Boucheham A, Sommard V, Zehraoui F, Boualem A, Batouche M, Bendahmane A, Israeli D, Tahi F.

PLoS One. 2017 Jun 16;12(6):e0179787. doi: 10.1371/journal.pone.0179787. eCollection 2017.

6.

JNSViewer-A JavaScript-based Nucleotide Sequence Viewer for DNA/RNA secondary structures.

Shi J, Li X, Dong M, Graham M, Yadav N, Liang C.

PLoS One. 2017 Jun 5;12(6):e0179040. doi: 10.1371/journal.pone.0179040. eCollection 2017.

7.

An improved method for identification of small non-coding RNAs in bacteria using support vector machine.

Barman RK, Mukhopadhyay A, Das S.

Sci Rep. 2017 Apr 6;7:46070. doi: 10.1038/srep46070.

8.

Which statistical significance test best detects oncomiRNAs in cancer tissues? An exploratory analysis.

Tang W, Liao Z, Zou Q.

Oncotarget. 2016 Dec 20;7(51):85613-85623. doi: 10.18632/oncotarget.12828.

9.

BP Neural Network Could Help Improve Pre-miRNA Identification in Various Species.

Jiang L, Zhang J, Xuan P, Zou Q.

Biomed Res Int. 2016;2016:9565689. doi: 10.1155/2016/9565689. Epub 2016 Aug 22.

10.

Long non-coding RNAs and complex diseases: from experimental results to computational models.

Chen X, Yan CC, Zhang X, You ZH.

Brief Bioinform. 2017 Jul 1;18(4):558-576. doi: 10.1093/bib/bbw060. Review.

11.

Protein Remote Homology Detection Based on an Ensemble Learning Approach.

Chen J, Liu B, Huang D.

Biomed Res Int. 2016;2016:5813645. doi: 10.1155/2016/5813645. Epub 2016 May 8.

12.

Improving classification of mature microRNA by solving class imbalance problem.

Wang Y, Li X, Tao B.

Sci Rep. 2016 May 16;6:25941. doi: 10.1038/srep25941.

13.

Recombination spot identification Based on gapped k-mers.

Wang R, Xu Y, Liu B.

Sci Rep. 2016 Mar 31;6:23934. doi: 10.1038/srep23934. Erratum in: Sci Rep. 2016 Dec 07;6:35331. Retraction in: Sci Rep. 2018 Mar 20;8:46940.

14.
15.

Predicting cancerlectins by the optimal g-gap dipeptides.

Lin H, Liu WX, He J, Liu XH, Ding H, Chen W.

Sci Rep. 2015 Dec 9;5:16964. doi: 10.1038/srep16964.

16.

Survey of Natural Language Processing Techniques in Bioinformatics.

Zeng Z, Shi H, Wu Y, Hong Z.

Comput Math Methods Med. 2015;2015:674296. doi: 10.1155/2015/674296. Epub 2015 Oct 7. Review.

17.

Constructing lncRNA functional similarity network based on lncRNA-disease associations and disease semantic similarity.

Chen X, Yan CC, Luo C, Ji W, Zhang Y, Dai Q.

Sci Rep. 2015 Jun 10;5:11338. doi: 10.1038/srep11338.

18.

Prediction of protein-protein interactions with clustered amino acids and weighted sparse representation.

Huang Q, You Z, Zhang X, Zhou Y.

Int J Mol Sci. 2015 May 13;16(5):10855-69. doi: 10.3390/ijms160510855.

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