Guan YJ - Search Results

1

MHESMMR: a multilevel model for predicting the regulation of miRNAs expression by small molecules.

Guan YJ, Yu CQ, Li LP, You ZH, Wei MM, Wang XF, Yang C, Guo LX. Guan YJ, et al. BMC Bioinformatics. 2024 Jan 2;25(1):6. doi: 10.1186/s12859-023-05629-x. BMC Bioinformatics. 2024. PMID: 38166644 Free PMC article.

2

A biomedical knowledge graph-based method for drug-drug interactions prediction through combining local and global features with deep neural networks.

Ren ZH, You ZH, Yu CQ, Li LP, Guan YJ, Guo LX, Pan J. Ren ZH, et al. Among authors: guan yj. Brief Bioinform. 2022 Sep 20;23(5):bbac363. doi: 10.1093/bib/bbac363. Brief Bioinform. 2022. PMID: 36070624

3

Prediction of Protein-Protein Interactions in Arabidopsis, Maize, and Rice by Combining Deep Neural Network With Discrete Hilbert Transform.

Pan J, Li LP, You ZH, Yu CQ, Ren ZH, Guan YJ. Pan J, et al. Among authors: guan yj. Front Genet. 2021 Sep 20;12:745228. doi: 10.3389/fgene.2021.745228. eCollection 2021. Front Genet. 2021. PMID: 34616437 Free PMC article.

4

Sequence-Based Prediction of Plant Protein-Protein Interactions by Combining Discrete Sine Transformation With Rotation Forest.

Pan J, Li LP, Yu CQ, You ZH, Guan YJ, Ren ZH. Pan J, et al. Among authors: guan yj. Evol Bioinform Online. 2021 Oct 12;17:11769343211050067. doi: 10.1177/11769343211050067. eCollection 2021. Evol Bioinform Online. 2021. PMID: 34671178 Free PMC article.

5

SAWRPI: A Stacking Ensemble Framework With Adaptive Weight for Predicting ncRNA-Protein Interactions Using Sequence Information.

Ren ZH, Yu CQ, Li LP, You ZH, Guan YJ, Li YC, Pan J. Ren ZH, et al. Among authors: guan yj. Front Genet. 2022 Feb 28;13:839540. doi: 10.3389/fgene.2022.839540. eCollection 2022. Front Genet. 2022. PMID: 35360836 Free PMC article.

6

BioChemDDI: Predicting Drug-Drug Interactions by Fusing Biochemical and Structural Information through a Self-Attention Mechanism.

Ren ZH, Yu CQ, Li LP, You ZH, Pan J, Guan YJ, Guo LX. Ren ZH, et al. Among authors: guan yj. Biology (Basel). 2022 May 16;11(5):758. doi: 10.3390/biology11050758. Biology (Basel). 2022. PMID: 35625486 Free PMC article.

7

BNEMDI: A Novel MicroRNA-Drug Interaction Prediction Model Based on Multi-Source Information With a Large-Scale Biological Network.

Guan YJ, Yu CQ, Li LP, You ZH, Ren ZH, Pan J, Li YC. Guan YJ, et al. Front Genet. 2022 Jul 15;13:919264. doi: 10.3389/fgene.2022.919264. eCollection 2022. Front Genet. 2022. PMID: 35910223 Free PMC article.

8

KGDCMI: A New Approach for Predicting circRNA-miRNA Interactions From Multi-Source Information Extraction and Deep Learning.

Wang XF, Yu CQ, Li LP, You ZH, Huang WZ, Li YC, Ren ZH, Guan YJ. Wang XF, et al. Among authors: guan yj. Front Genet. 2022 Aug 16;13:958096. doi: 10.3389/fgene.2022.958096. eCollection 2022. Front Genet. 2022. PMID: 36051691 Free PMC article.

9

SGCNCMI: A New Model Combining Multi-Modal Information to Predict circRNA-Related miRNAs, Diseases and Genes.

Yu CQ, Wang XF, Li LP, You ZH, Huang WZ, Li YC, Ren ZH, Guan YJ. Yu CQ, et al. Among authors: guan yj. Biology (Basel). 2022 Sep 13;11(9):1350. doi: 10.3390/biology11091350. Biology (Basel). 2022. PMID: 36138829 Free PMC article.

10

MFIDMA: A Multiple Information Integration Model for the Prediction of Drug-miRNA Associations.

Guan YJ, Yu CQ, Qiao Y, Li LP, You ZH, Ren ZH, Li YC, Pan J. Guan YJ, et al. Biology (Basel). 2022 Dec 26;12(1):41. doi: 10.3390/biology12010041. Biology (Basel). 2022. PMID: 36671734 Free PMC article.

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