Wang XF - Search Results

1

Hither-CMI: Prediction of circRNA-miRNA Interactions Based on a Hybrid Multimodal Network and Higher-Order Neighborhood Information via a Graph Convolutional Network.

Jiang C, Wang L, Yu CQ, You ZH, Wang XF, Wei MM, Shi TL, Liang SZ, Wang DW. Jiang C, et al. Among authors: wang xf. J Chem Inf Model. 2024 Dec 17. doi: 10.1021/acs.jcim.4c01991. Online ahead of print. J Chem Inf Model. 2024. PMID: 39686716

2

DeepCMI: a graph-based model for accurate prediction of circRNA-miRNA interactions with multiple information.

Li YC, You ZH, Yu CQ, Wang L, Hu L, Hu PW, Qiao Y, Wang XF, Huang YA. Li YC, et al. Among authors: wang xf, wang l. Brief Funct Genomics. 2024 May 15;23(3):276-285. doi: 10.1093/bfgp/elad030. Brief Funct Genomics. 2024. PMID: 37539561

3

KS-CMI: A circRNA-miRNA interaction prediction method based on the signed graph neural network and denoising autoencoder.

Wang XF, Yu CQ, You ZH, Qiao Y, Li ZW, Huang WZ, Zhou JR, Jin HY. Wang XF, et al. iScience. 2023 Jul 26;26(8):107478. doi: 10.1016/j.isci.2023.107478. eCollection 2023 Aug 18. iScience. 2023. PMID: 37583550 Free PMC article.

4

RBNE-CMI: An Efficient Method for Predicting circRNA-miRNA Interactions via Multiattribute Incomplete Heterogeneous Network Embedding.

Yu CQ, Wang XF, Li LP, You ZH, Ren ZH, Chu P, Guo F, Wang ZY. Yu CQ, et al. Among authors: wang xf, wang zy. J Chem Inf Model. 2024 Sep 23;64(18):7163-7172. doi: 10.1021/acs.jcim.4c01118. Epub 2024 Sep 4. J Chem Inf Model. 2024. PMID: 39231016

5

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. Front Genet. 2022 Aug 16;13:958096. doi: 10.3389/fgene.2022.958096. eCollection 2022. Front Genet. 2022. PMID: 36051691 Free PMC article.

6

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: wang xf. Biology (Basel). 2022 Sep 13;11(9):1350. doi: 10.3390/biology11091350. Biology (Basel). 2022. PMID: 36138829 Free PMC article.

7

DeepMPF: deep learning framework for predicting drug-target interactions based on multi-modal representation with meta-path semantic analysis.

Ren ZH, You ZH, Zou Q, Yu CQ, Ma YF, Guan YJ, You HR, Wang XF, Pan J. Ren ZH, et al. Among authors: wang xf. J Transl Med. 2023 Jan 25;21(1):48. doi: 10.1186/s12967-023-03876-3. J Transl Med. 2023. PMID: 36698208 Free PMC article.

8

LPIH2V: LncRNA-protein interactions prediction using HIN2Vec based on heterogeneous networks model.

Wei MM, Yu CQ, Li LP, You ZH, Ren ZH, Guan YJ, Wang XF, Li YC. Wei MM, et al. Among authors: wang xf. Front Genet. 2023 Feb 10;14:1122909. doi: 10.3389/fgene.2023.1122909. eCollection 2023. Front Genet. 2023. PMID: 36845392 Free PMC article.

9

A feature extraction method based on noise reduction for circRNA-miRNA interaction prediction combining multi-structure features in the association networks.

Wang XF, Yu CQ, You ZH, Li LP, Huang WZ, Ren ZH, Li YC, Wei MM. Wang XF, et al. Brief Bioinform. 2023 May 19;24(3):bbad111. doi: 10.1093/bib/bbad111. Brief Bioinform. 2023. PMID: 36971393

10

An efficient circRNA-miRNA interaction prediction model by combining biological text mining and wavelet diffusion-based sparse network structure embedding.

Wang XF, Yu CQ, You ZH, Qiao Y, Li ZW, Huang WZ. Wang XF, et al. Comput Biol Med. 2023 Oct;165:107421. doi: 10.1016/j.compbiomed.2023.107421. Epub 2023 Aug 29. Comput Biol Med. 2023. PMID: 37672925

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