Yao J - Search Results

1

iAMPCN: a deep-learning approach for identifying antimicrobial peptides and their functional activities.

Xu J, Li F, Li C, Guo X, Landersdorfer C, Shen HH, Peleg AY, Li J, Imoto S, Yao J, Akutsu T, Song J. Xu J, et al. Among authors: yao j. Brief Bioinform. 2023 Jul 20;24(4):bbad240. doi: 10.1093/bib/bbad240. Brief Bioinform. 2023. PMID: 37369638 Free PMC article.

2

Clarion is a multi-label problem transformation method for identifying mRNA subcellular localizations.

Bi Y, Li F, Guo X, Wang Z, Pan T, Guo Y, Webb GI, Yao J, Jia C, Song J. Bi Y, et al. Among authors: yao j. Brief Bioinform. 2022 Nov 19;23(6):bbac467. doi: 10.1093/bib/bbac467. Brief Bioinform. 2022. PMID: 36341591 Free PMC article.

3

Interpretable artificial intelligence model for accurate identification of medical conditions using immune repertoire.

Zhao Y, He B, Xu Z, Zhang Y, Zhao X, Huang ZA, Yang F, Wang L, Duan L, Song J, Yao J. Zhao Y, et al. Among authors: yao j. Brief Bioinform. 2023 Jan 19;24(1):bbac555. doi: 10.1093/bib/bbac555. Brief Bioinform. 2023. PMID: 36567255

4

Targeting tumor heterogeneity: multiplex-detection-based multiple instance learning for whole slide image classification.

Wang Z, Bi Y, Pan T, Wang X, Bain C, Bassed R, Imoto S, Yao J, Daly RJ, Song J. Wang Z, et al. Among authors: yao j. Bioinformatics. 2023 Mar 1;39(3):btad114. doi: 10.1093/bioinformatics/btad114. Bioinformatics. 2023. PMID: 36864612 Free PMC article.

5

DeepAIR: A deep learning framework for effective integration of sequence and 3D structure to enable adaptive immune receptor analysis.

Zhao Y, He B, Xu F, Li C, Xu Z, Su X, He H, Huang Y, Rossjohn J, Song J, Yao J. Zhao Y, et al. Among authors: yao j. Sci Adv. 2023 Aug 9;9(32):eabo5128. doi: 10.1126/sciadv.abo5128. Epub 2023 Aug 9. Sci Adv. 2023. PMID: 37556545 Free PMC article.

6

Surformer: An interpretable pattern-perceptive survival transformer for cancer survival prediction from histopathology whole slide images.

Wang Z, Gao Q, Yi X, Zhang X, Zhang Y, Zhang D, Liò P, Bain C, Bassed R, Li S, Guo Y, Imoto S, Yao J, Daly RJ, Song J. Wang Z, et al. Among authors: yao j. Comput Methods Programs Biomed. 2023 Nov;241:107733. doi: 10.1016/j.cmpb.2023.107733. Epub 2023 Jul 28. Comput Methods Programs Biomed. 2023. PMID: 37572513 Free article.

7

SPDB: a comprehensive resource and knowledgebase for proteomic data at the single-cell resolution.

Wang F, Liu C, Li J, Yang F, Song J, Zang T, Yao J, Wang G. Wang F, et al. Among authors: yao j. Nucleic Acids Res. 2024 Jan 5;52(D1):D562-D571. doi: 10.1093/nar/gkad1018. Nucleic Acids Res. 2024. PMID: 37953313 Free PMC article.

8

CTEC: a cross-tabulation ensemble clustering approach for single-cell RNA sequencing data analysis.

Wang L, Hong C, Song J, Yao J. Wang L, et al. Among authors: yao j. Bioinformatics. 2024 Mar 29;40(4):btae130. doi: 10.1093/bioinformatics/btae130. Bioinformatics. 2024. PMID: 38552307 Free PMC article.

9

Complete spatially resolved gene expression is not necessary for identifying spatial domains.

Lin S, Cui Y, Zhao F, Yang Z, Song J, Yao J, Zhao Y, Qian BZ, Zhao Y, Yuan Z. Lin S, et al. Among authors: yao j. Cell Genom. 2024 Jun 12;4(6):100565. doi: 10.1016/j.xgen.2024.100565. Epub 2024 May 22. Cell Genom. 2024. PMID: 38781966 Free PMC article.

10

Graph domain adaptation-based framework for gene expression enhancement and cell type identification in large-scale spatially resolved transcriptomics.

Shen R, Cheng M, Wang W, Fan Q, Yan H, Wen J, Yuan Z, Yao J, Li Y, Yuan J. Shen R, et al. Among authors: yao j. Brief Bioinform. 2024 Sep 23;25(6):bbae576. doi: 10.1093/bib/bbae576. Brief Bioinform. 2024. PMID: 39508445 Free PMC article.

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