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Items: 20

1.

FCMDAP: using miRNA family and cluster information to improve the prediction accuracy of disease related miRNAs.

Li X, Lin Y, Gu C, Yang J.

BMC Syst Biol. 2019 Apr 5;13(Suppl 2):26. doi: 10.1186/s12918-019-0696-9.

2.

Adaptive multi-view multi-label learning for identifying disease-associated candidate miRNAs.

Liang C, Yu S, Luo J.

PLoS Comput Biol. 2019 Apr 1;15(4):e1006931. doi: 10.1371/journal.pcbi.1006931. eCollection 2019 Apr.

3.

Construction and Analysis of Protein-Protein Interaction Network of Heroin Use Disorder.

Chen SJ, Liao DL, Chen CH, Wang TY, Chen KC.

Sci Rep. 2019 Mar 21;9(1):4980. doi: 10.1038/s41598-019-41552-z.

4.

Assessment of miR-98-5p, miR-152-3p, miR-326 and miR-4289 Expression as Biomarker for Prostate Cancer Diagnosis.

Moya L, Meijer J, Schubert S, Matin F, Batra J.

Int J Mol Sci. 2019 Mar 6;20(5). pii: E1154. doi: 10.3390/ijms20051154. Review.

5.

CeModule: an integrative framework for discovering regulatory patterns from genomic data in cancer.

Xiao Q, Luo J, Liang C, Cai J, Li G, Cao B.

BMC Bioinformatics. 2019 Feb 7;20(1):67. doi: 10.1186/s12859-019-2654-3.

6.

Predicting MiRNA-Disease Association by Latent Feature Extraction with Positive Samples.

Che K, Guo M, Wang C, Liu X, Chen X.

Genes (Basel). 2019 Jan 24;10(2). pii: E80. doi: 10.3390/genes10020080.

7.

Distinct shed microvesicle and exosome microRNA signatures reveal diagnostic markers for colorectal cancer.

Chen M, Xu R, Rai A, Suwakulsiri W, Izumikawa K, Ishikawa H, Greening DW, Takahashi N, Simpson RJ.

PLoS One. 2019 Jan 4;14(1):e0210003. doi: 10.1371/journal.pone.0210003. eCollection 2019.

8.

LLCMDA: A Novel Method for Predicting miRNA Gene and Disease Relationship Based on Locality-Constrained Linear Coding.

Qu Y, Zhang H, Lyu C, Liang C.

Front Genet. 2018 Nov 28;9:576. doi: 10.3389/fgene.2018.00576. eCollection 2018.

9.

A novel semi-supervised model for miRNA-disease association prediction based on [Formula: see text]-norm graph.

Liang C, Yu S, Wong KC, Luo J.

J Transl Med. 2018 Dec 14;16(1):357. doi: 10.1186/s12967-018-1741-y.

10.

MCLPMDA: A novel method for miRNA-disease association prediction based on matrix completion and label propagation.

Yu SP, Liang C, Xiao Q, Li GH, Ding PJ, Luo JW.

J Cell Mol Med. 2019 Feb;23(2):1427-1438. doi: 10.1111/jcmm.14048. Epub 2018 Nov 29.

11.

GLNMDA: a novel method for miRNA-disease association prediction based on global linear neighborhoods.

Yu SP, Liang C, Xiao Q, Li GH, Ding PJ, Luo JW.

RNA Biol. 2018;15(9):1215-1227. doi: 10.1080/15476286.2018.1521210. Epub 2018 Sep 23.

12.

Identification of Novel Target for Osteosarcoma by Network Analysis.

Zhi LQ, Yang YX, Yao SX, Qing Z, Ma JB.

Med Sci Monit. 2018 Aug 25;24:5914-5924. doi: 10.12659/MSM.909973.

13.

Circ2Disease: a manually curated database of experimentally validated circRNAs in human disease.

Yao D, Zhang L, Zheng M, Sun X, Lu Y, Liu P.

Sci Rep. 2018 Jul 20;8(1):11018. doi: 10.1038/s41598-018-29360-3.

14.

DEXTER: Disease-Expression Relation Extraction from Text.

Gupta S, Dingerdissen H, Ross KE, Hu Y, Wu CH, Mazumder R, Vijay-Shanker K.

Database (Oxford). 2018 Jan 1;2018. doi: 10.1093/database/bay045.

15.

SRMDAP: SimRank and Density-Based Clustering Recommender Model for miRNA-Disease Association Prediction.

Li X, Lin Y, Gu C, Li Z.

Biomed Res Int. 2018 Mar 21;2018:5747489. doi: 10.1155/2018/5747489. eCollection 2018.

16.

MNDR v2.0: an updated resource of ncRNA-disease associations in mammals.

Cui T, Zhang L, Huang Y, Yi Y, Tan P, Zhao Y, Hu Y, Xu L, Li E, Wang D.

Nucleic Acids Res. 2018 Jan 4;46(D1):D371-D374. doi: 10.1093/nar/gkx1025.

17.

OncomiR: an online resource for exploring pan-cancer microRNA dysregulation.

Wong NW, Chen Y, Chen S, Wang X.

Bioinformatics. 2018 Feb 15;34(4):713-715. doi: 10.1093/bioinformatics/btx627.

18.

miR-19b promotes breast cancer metastasis through targeting MYLIP and its related cell adhesion molecules.

Zhao L, Zhao Y, He Y, Mao Y.

Oncotarget. 2017 Jul 17;8(38):64330-64343. doi: 10.18632/oncotarget.19278. eCollection 2017 Sep 8.

19.

Computational prediction of human disease-related microRNAs by path-based random walk.

Mugunga I, Ju Y, Liu X, Huang X.

Oncotarget. 2017 Apr 19;8(35):58526-58535. doi: 10.18632/oncotarget.17226. eCollection 2017 Aug 29.

20.

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