Dai W - Search Results

1

MVCLST: A spatial transcriptome data analysis pipeline for cell type classification based on multi-view comparative learning.

Peng W, Zhang Z, Dai W, Ping Z, Fu X, Liu L, Liu L, Yu N. Peng W, et al. Among authors: dai w. Methods. 2024 Dec;232:115-128. doi: 10.1016/j.ymeth.2024.11.001. Epub 2024 Nov 13. Methods. 2024. PMID: 39542071

2

A Novel Method for Identifying Essential Genes by Fusing Dynamic Protein⁻Protein Interactive Networks.

Zhang F, Peng W, Yang Y, Dai W, Song J. Zhang F, et al. Among authors: dai w. Genes (Basel). 2019 Jan 8;10(1):31. doi: 10.3390/genes10010031. Genes (Basel). 2019. PMID: 30626157 Free PMC article.

3

Network Embedding the Protein-Protein Interaction Network for Human Essential Genes Identification.

Dai W, Chang Q, Peng W, Zhong J, Li Y. Dai W, et al. Genes (Basel). 2020 Jan 31;11(2):153. doi: 10.3390/genes11020153. Genes (Basel). 2020. PMID: 32023848 Free PMC article.

4

Identifying and ranking potential cancer drivers using representation learning on attributed network.

Peng W, Yi S, Dai W, Wang J. Peng W, et al. Among authors: dai w. Methods. 2021 Aug;192:13-24. doi: 10.1016/j.ymeth.2020.07.013. Epub 2020 Aug 3. Methods. 2021. PMID: 32758683

5

A Novel Multi-Ensemble Method for Identifying Essential Proteins.

Dai W, Chen B, Peng W, Li X, Zhong J, Wang J. Dai W, et al. J Comput Biol. 2021 Jul;28(7):637-649. doi: 10.1089/cmb.2020.0527. Epub 2021 Jan 13. J Comput Biol. 2021. PMID: 33439753

6

Predicting miRNA-Disease Association Based on Modularity Preserving Heterogeneous Network Embedding.

Peng W, Du J, Dai W, Lan W. Peng W, et al. Among authors: dai w. Front Cell Dev Biol. 2021 Jun 10;9:603758. doi: 10.3389/fcell.2021.603758. eCollection 2021. Front Cell Dev Biol. 2021. PMID: 34178973 Free PMC article.

7

Predicting Drug Response Based on Multi-Omics Fusion and Graph Convolution.

Peng W, Chen T, Dai W. Peng W, et al. Among authors: dai w. IEEE J Biomed Health Inform. 2022 Mar;26(3):1384-1393. doi: 10.1109/JBHI.2021.3102186. Epub 2022 Mar 7. IEEE J Biomed Health Inform. 2022. PMID: 34347616

8

Improving cancer driver gene identification using multi-task learning on graph convolutional network.

Peng W, Tang Q, Dai W, Chen T. Peng W, et al. Among authors: dai w. Brief Bioinform. 2022 Jan 17;23(1):bbab432. doi: 10.1093/bib/bbab432. Brief Bioinform. 2022. PMID: 34643232

9

Multi-View Feature Aggregation for Predicting Microbe-Disease Association.

Peng W, Liu M, Dai W, Chen T, Fu Y, Pan Y. Peng W, et al. Among authors: dai w. IEEE/ACM Trans Comput Biol Bioinform. 2023 Sep-Oct;20(5):2748-2758. doi: 10.1109/TCBB.2021.3132611. Epub 2023 Oct 9. IEEE/ACM Trans Comput Biol Bioinform. 2023. PMID: 34871177

10

Identifying Cancer Subtypes Using a Residual Graph Convolution Model on a Sample Similarity Network.

Dai W, Yue W, Peng W, Fu X, Liu L, Liu L. Dai W, et al. Genes (Basel). 2021 Dec 27;13(1):65. doi: 10.3390/genes13010065. Genes (Basel). 2021. PMID: 35052405 Free PMC article.

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