Ye X - Search Results

1

iLoc-miRNA: extracellular/intracellular miRNA prediction using deep BiLSTM with attention mechanism.

Zhang ZY, Ning L, Ye X, Yang YH, Futamura Y, Sakurai T, Lin H. Zhang ZY, et al. Among authors: ye x. Brief Bioinform. 2022 Sep 20;23(5):bbac395. doi: 10.1093/bib/bbac395. Brief Bioinform. 2022. PMID: 36070864

2

CPPred-FL: a sequence-based predictor for large-scale identification of cell-penetrating peptides by feature representation learning.

Qiang X, Zhou C, Ye X, Du PF, Su R, Wei L. Qiang X, et al. Among authors: ye x. Brief Bioinform. 2020 Jan 17;21(1):11-23. doi: 10.1093/bib/bby091. Brief Bioinform. 2020. PMID: 30239616

3

Ensemble Feature Learning to Identify Risk Factors for Predicting Secondary Cancer.

Ye X, Li H, Sakurai T, Shueng PW. Ye X, et al. Int J Med Sci. 2019 Jun 7;16(7):949-959. doi: 10.7150/ijms.33820. eCollection 2019. Int J Med Sci. 2019. PMID: 31341408 Free PMC article.

4

Detecting Interactive Gene Groups for Single-Cell RNA-Seq Data Based on Co-Expression Network Analysis and Subgraph Learning.

Ye X, Zhang W, Futamura Y, Sakurai T. Ye X, et al. Cells. 2020 Aug 21;9(9):1938. doi: 10.3390/cells9091938. Cells. 2020. PMID: 32825786 Free PMC article.

5

Application of learning to rank in bioinformatics tasks.

Ru X, Ye X, Sakurai T, Zou Q. Ru X, et al. Among authors: ye x. Brief Bioinform. 2021 Sep 2;22(5):bbaa394. doi: 10.1093/bib/bbaa394. Brief Bioinform. 2021. PMID: 33454758

6

ATSE: a peptide toxicity predictor by exploiting structural and evolutionary information based on graph neural network and attention mechanism.

Wei L, Ye X, Xue Y, Sakurai T, Wei L. Wei L, et al. Among authors: ye x. Brief Bioinform. 2021 Sep 2;22(5):bbab041. doi: 10.1093/bib/bbab041. Brief Bioinform. 2021. PMID: 33822870

7

Current status and future prospects of drug-target interaction prediction.

Ru X, Ye X, Sakurai T, Zou Q, Xu L, Lin C. Ru X, et al. Among authors: ye x. Brief Funct Genomics. 2021 Sep 11;20(5):312-322. doi: 10.1093/bfgp/elab031. Brief Funct Genomics. 2021. PMID: 34189559 Review.

8

Better Performance with Transformer: CPPFormer in the Precise Prediction of Cell-penetrating Peptides.

Xue Y, Ye X, Wei L, Zhang X, Sakurai T, Wei L. Xue Y, et al. Among authors: ye x. Curr Med Chem. 2022;29(5):881-893. doi: 10.2174/0929867328666210920103140. Curr Med Chem. 2022. PMID: 34544332

9

ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learning.

Wei L, Ye X, Sakurai T, Mu Z, Wei L. Wei L, et al. Among authors: ye x. Bioinformatics. 2022 Mar 4;38(6):1514-1524. doi: 10.1093/bioinformatics/btac006. Bioinformatics. 2022. PMID: 34999757

10

NerLTR-DTA: drug-target binding affinity prediction based on neighbor relationship and learning to rank.

Ru X, Ye X, Sakurai T, Zou Q. Ru X, et al. Among authors: ye x. Bioinformatics. 2022 Mar 28;38(7):1964-1971. doi: 10.1093/bioinformatics/btac048. Bioinformatics. 2022. PMID: 35134828

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