Wang Y - Search Results

1

Li L, Gao Z, Zheng CH, Wang Y, Wang YT, Ni JC. Li L, et al. Among authors: wang yt, wang y. Front Cell Dev Biol. 2021 Feb 9;9:617569. doi: 10.3389/fcell.2021.617569. eCollection 2021. Front Cell Dev Biol. 2021. PMID: 33634120 Free PMC article.

2

Robust PCA based method for discovering differentially expressed genes.

Liu JX, Wang YT, Zheng CH, Sha W, Mi JX, Xu Y. Liu JX, et al. Among authors: wang yt. BMC Bioinformatics. 2013;14 Suppl 8(Suppl 8):S3. doi: 10.1186/1471-2105-14-S8-S3. Epub 2013 May 9. BMC Bioinformatics. 2013. PMID: 23815087 Free PMC article.

3

A Random Walk Based Cluster Ensemble Approach for Data Integration and Cancer Subtyping.

Yang C, Wang YT, Zheng CH. Yang C, et al. Genes (Basel). 2019 Jan 18;10(1):66. doi: 10.3390/genes10010066. Genes (Basel). 2019. PMID: 30669418 Free PMC article.

4

MECoRank: cancer driver genes discovery simultaneously evaluating the impact of SNVs and differential expression on transcriptional networks.

Hui Y, Wei PJ, Xia J, Wang YT, Zheng CH. Hui Y, et al. Among authors: wang yt. BMC Med Genomics. 2019 Dec 30;12(Suppl 7):140. doi: 10.1186/s12920-019-0582-8. BMC Med Genomics. 2019. PMID: 31888623 Free PMC article.

5

Graph regularized L_2,1-nonnegative matrix factorization for miRNA-disease association prediction.

Gao Z, Wang YT, Wu QW, Ni JC, Zheng CH. Gao Z, et al. BMC Bioinformatics. 2020 Feb 18;21(1):61. doi: 10.1186/s12859-020-3409-x. BMC Bioinformatics. 2020. PMID: 32070280 Free PMC article.

6

MSCHLMDA: Multi-Similarity Based Combinative Hypergraph Learning for Predicting MiRNA-Disease Association.

Wu Q, Wang Y, Gao Z, Ni J, Zheng C. Wu Q, et al. Among authors: wang y. Front Genet. 2020 Apr 15;11:354. doi: 10.3389/fgene.2020.00354. eCollection 2020. Front Genet. 2020. PMID: 32351545 Free PMC article.

7

A New Method Based on Matrix Completion and Non-Negative Matrix Factorization for Predicting Disease-Associated miRNAs.

Gao Z, Wang YT, Wu QW, Li L, Ni JC, Zheng CH. Gao Z, et al. IEEE/ACM Trans Comput Biol Bioinform. 2022 Mar-Apr;19(2):763-772. doi: 10.1109/TCBB.2020.3027444. Epub 2022 Apr 1. IEEE/ACM Trans Comput Biol Bioinform. 2022. PMID: 32991287

8

A Semi-Supervised Learning Method for MiRNA-Disease Association Prediction Based on Variational Autoencoder.

Ji C, Wang Y, Gao Z, Li L, Ni J, Zheng C. Ji C, et al. Among authors: wang y. IEEE/ACM Trans Comput Biol Bioinform. 2022 Jul-Aug;19(4):2049-2059. doi: 10.1109/TCBB.2021.3067338. Epub 2022 Aug 8. IEEE/ACM Trans Comput Biol Bioinform. 2022. PMID: 33735084

9

MiRNA-disease association prediction via hypergraph learning based on high-dimensionality features.

Wang YT, Wu QW, Gao Z, Ni JC, Zheng CH. Wang YT, et al. BMC Med Inform Decis Mak. 2021 Apr 20;21(Suppl 1):133. doi: 10.1186/s12911-020-01320-w. BMC Med Inform Decis Mak. 2021. PMID: 33882934 Free PMC article.

10

SCMFMDA: Predicting microRNA-disease associations based on similarity constrained matrix factorization.

Li L, Gao Z, Wang YT, Zhang MW, Ni JC, Zheng CH, Su Y. Li L, et al. Among authors: wang yt. PLoS Comput Biol. 2021 Jul 12;17(7):e1009165. doi: 10.1371/journal.pcbi.1009165. eCollection 2021 Jul. PLoS Comput Biol. 2021. PMID: 34252084 Free PMC article.

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