Sheng N - Search Results

1

Inferring Drug-Target Interactions Based on Random Walk and Convolutional Neural Network.

Xu X, Xuan P, Zhang T, Chen B, Sheng N. Xu X, et al. Among authors: sheng n. IEEE/ACM Trans Comput Biol Bioinform. 2022 Jul-Aug;19(4):2294-2304. doi: 10.1109/TCBB.2021.3066813. Epub 2022 Aug 8. IEEE/ACM Trans Comput Biol Bioinform. 2022. PMID: 33729947

2

CNNDLP: A Method Based on Convolutional Autoencoder and Convolutional Neural Network with Adjacent Edge Attention for Predicting lncRNA-Disease Associations.

Xuan P, Sheng N, Zhang T, Liu Y, Guo Y. Xuan P, et al. Among authors: sheng n. Int J Mol Sci. 2019 Aug 30;20(17):4260. doi: 10.3390/ijms20174260. Int J Mol Sci. 2019. PMID: 31480319 Free PMC article.

3

LDAPred: A Method Based on Information Flow Propagation and a Convolutional Neural Network for the Prediction of Disease-Associated lncRNAs.

Xuan P, Jia L, Zhang T, Sheng N, Li X, Li J. Xuan P, et al. Among authors: sheng n. Int J Mol Sci. 2019 Sep 10;20(18):4458. doi: 10.3390/ijms20184458. Int J Mol Sci. 2019. PMID: 31510011 Free PMC article.

4

HeteroDualNet: A Dual Convolutional Neural Network With Heterogeneous Layers for Drug-Disease Association Prediction via Chou's Five-Step Rule.

Xuan P, Cui H, Shen T, Sheng N, Zhang T. Xuan P, et al. Among authors: sheng n. Front Pharmacol. 2019 Nov 8;10:1301. doi: 10.3389/fphar.2019.01301. eCollection 2019. Front Pharmacol. 2019. PMID: 31780934 Free PMC article.

5

Attentional multi-level representation encoding based on convolutional and variance autoencoders for lncRNA-disease association prediction.

Sheng N, Cui H, Zhang T, Xuan P. Sheng N, et al. Brief Bioinform. 2021 May 20;22(3):bbaa067. doi: 10.1093/bib/bbaa067. Brief Bioinform. 2021. PMID: 32444875

6

Graph Convolutional Autoencoder and Fully-Connected Autoencoder with Attention Mechanism Based Method for Predicting Drug-Disease Associations.

Xuan P, Gao L, Sheng N, Zhang T, Nakaguchi T. Xuan P, et al. Among authors: sheng n. IEEE J Biomed Health Inform. 2021 May;25(5):1793-1804. doi: 10.1109/JBHI.2020.3039502. Epub 2021 May 11. IEEE J Biomed Health Inform. 2021. PMID: 33216722

7

Prediction of drug-disease associations by integrating common topologies of heterogeneous networks and specific topologies of subnets.

Gao L, Cui H, Zhang T, Sheng N, Xuan P. Gao L, et al. Among authors: sheng n. Brief Bioinform. 2022 Jan 17;23(1):bbab467. doi: 10.1093/bib/bbab467. Brief Bioinform. 2022. PMID: 34850815

8

Multi-channel graph attention autoencoders for disease-related lncRNAs prediction.

Sheng N, Huang L, Wang Y, Zhao J, Xuan P, Gao L, Cao Y. Sheng N, et al. Brief Bioinform. 2022 Mar 10;23(2):bbab604. doi: 10.1093/bib/bbab604. Brief Bioinform. 2022. PMID: 35108355

The source code and supplementary data are available at https://github.com/sheng-n/MGATE. CONTACT: huanglan@jlu.edu.cn, wy6868@jlu.edu.cn....

The source code and supplementary data are available at https://github.com/sheng-n/MGATE. CONTACT: huanglan@jlu.edu.cn, wy6868 …

9

Predicting miRNA-disease associations based on PPMI and attention network.

Xie X, Wang Y, He K, Sheng N. Xie X, et al. Among authors: sheng n. BMC Bioinformatics. 2023 Mar 23;24(1):113. doi: 10.1186/s12859-023-05152-z. BMC Bioinformatics. 2023. PMID: 36959547 Free PMC article.

10

A Survey of Computational Methods and Databases for lncRNA-MiRNA Interaction Prediction.

Sheng N, Huang L, Gao L, Cao Y, Xie X, Wang Y. Sheng N, et al. IEEE/ACM Trans Comput Biol Bioinform. 2023 Sep-Oct;20(5):2810-2826. doi: 10.1109/TCBB.2023.3264254. Epub 2023 Oct 10. IEEE/ACM Trans Comput Biol Bioinform. 2023. PMID: 37030713 Review.

Relevant databases and the latest advances in LMI prediction are summarized in a GitHub repository https://github.com/sheng-n/lncRNA-miRNA-interaction-methods, and we'll keep it updated....

Relevant databases and the latest advances in LMI prediction are summarized in a GitHub repository https://github.com/sheng-n/ …

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