Peng 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. Methods. 2024 Dec;232:115-128. doi: 10.1016/j.ymeth.2024.11.001. Epub 2024 Nov 13. Methods. 2024. PMID: 39542071

2

Identifying cancer driver genes based on multi-view heterogeneous graph convolutional network and self-attention mechanism.

Peng W, Wu R, Dai W, Yu N. Peng W, et al. BMC Bioinformatics. 2023 Jan 13;24(1):16. doi: 10.1186/s12859-023-05140-3. BMC Bioinformatics. 2023. PMID: 36639646 Free PMC article.

3

RA-DENet: Reverse Attention and Distractions Elimination Network for polyp segmentation.

Wang K, Liu L, Fu X, Liu L, Peng W. Wang K, et al. Among authors: peng w. Comput Biol Med. 2023 Mar;155:106704. doi: 10.1016/j.compbiomed.2023.106704. Epub 2023 Feb 24. Comput Biol Med. 2023. PMID: 36848801

4

Improving drug response prediction based on two-space graph convolution.

Peng W, Chen T, Liu H, Dai W, Yu N, Lan W. Peng W, et al. Comput Biol Med. 2023 May;158:106859. doi: 10.1016/j.compbiomed.2023.106859. Epub 2023 Mar 31. Comput Biol Med. 2023. PMID: 37023539

5

A Graph Convolution Network-Based Model for Prioritizing Personalized Cancer Driver Genes of Individual Patients.

Peng W, Yu P, Dai W, Fu X, Liu L, Pan Y. Peng W, et al. IEEE Trans Nanobioscience. 2023 Oct;22(4):744-754. doi: 10.1109/TNB.2023.3277316. Epub 2023 Oct 3. IEEE Trans Nanobioscience. 2023. PMID: 37195839

6

JLONMFSC: Clustering scRNA-seq data based on joint learning of non-negative matrix factorization and subspace clustering.

Lan W, Liu M, Chen J, Ye J, Zheng R, Zhu X, Peng W. Lan W, et al. Among authors: peng w. Methods. 2024 Feb;222:1-9. doi: 10.1016/j.ymeth.2023.11.019. Epub 2023 Dec 19. Methods. 2024. PMID: 38128706

7

Improving anti-cancer drug response prediction using multi-task learning on graph convolutional networks.

Liu H, Peng W, Dai W, Lin J, Fu X, Liu L, Liu L, Yu N. Liu H, et al. Among authors: peng w. Methods. 2024 Feb;222:41-50. doi: 10.1016/j.ymeth.2023.11.018. Epub 2023 Dec 27. Methods. 2024. PMID: 38157919

8

Hierarchical graph representation learning with multi-granularity features for anti-cancer drug response prediction.

Peng W, Lin J, Dai W, Yu N, Wang J. Peng W, et al. IEEE J Biomed Health Inform. 2024 Nov 6;PP. doi: 10.1109/JBHI.2024.3492806. Online ahead of print. IEEE J Biomed Health Inform. 2024. PMID: 39504283

9

Fusion of brain imaging genetic data for alzheimer's disease diagnosis and causal factors identification using multi-stream attention mechanisms and graph convolutional networks.

Peng W, Ma Y, Li C, Dai W, Fu X, Liu L, Liu L, Liu J. Peng W, et al. Neural Netw. 2024 Dec 20;184:107020. doi: 10.1016/j.neunet.2024.107020. Online ahead of print. Neural Netw. 2024. PMID: 39721106

10

Identification of cancer driver genes based on hierarchical weak consensus model.

Li G, Hu Z, Luo X, Liu J, Wu J, Peng W, Zhu X. Li G, et al. Among authors: peng w. Health Inf Sci Syst. 2024 Mar 6;12(1):21. doi: 10.1007/s13755-024-00279-6. eCollection 2024 Dec. Health Inf Sci Syst. 2024. PMID: 38464463

Save citations to file

Email citations

Send citations to clipboard

Add to Collections

Add to My Bibliography

Create a file for external citation management software

Your saved search

Your RSS Feed

My Custom Filters

Publication date

Text availability

Article attribute

Article type

Article Language

Species

Sex

Age

Other

6,460 results

Search Page

Filters