Yao J - Search Results

1

SOTIP is a versatile method for microenvironment modeling with spatial omics data.

Yuan Z, Li Y, Shi M, Yang F, Gao J, Yao J, Zhang MQ. Yuan Z, et al. Among authors: yao j. Nat Commun. 2022 Nov 28;13(1):7330. doi: 10.1038/s41467-022-34867-5. Nat Commun. 2022. PMID: 36443314 Free PMC article.

2

Spatial-ID: a cell typing method for spatially resolved transcriptomics via transfer learning and spatial embedding.

Shen R, Liu L, Wu Z, Zhang Y, Yuan Z, Guo J, Yang F, Zhang C, Chen B, Feng W, Liu C, Guo J, Fan G, Zhang Y, Li Y, Xu X, Yao J. Shen R, et al. Among authors: yao j. Nat Commun. 2022 Dec 10;13(1):7640. doi: 10.1038/s41467-022-35288-0. Nat Commun. 2022. PMID: 36496406 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

SODB facilitates comprehensive exploration of spatial omics data.

Yuan Z, Pan W, Zhao X, Zhao F, Xu Z, Li X, Zhao Y, Zhang MQ, Yao J. Yuan Z, et al. Among authors: yao j. Nat Methods. 2023 Mar;20(3):387-399. doi: 10.1038/s41592-023-01773-7. Epub 2023 Feb 16. Nat Methods. 2023. PMID: 36797409

5

Publisher Correction: SODB facilitates comprehensive exploration of spatial omics data.

Yuan Z, Pan W, Zhao X, Zhao F, Xu Z, Li X, Zhao Y, Zhang MQ, Yao J. Yuan Z, et al. Among authors: yao j. Nat Methods. 2023 Apr;20(4):623. doi: 10.1038/s41592-023-01844-9. Nat Methods. 2023. PMID: 36932185 No abstract available.

6

Harnessing computational spatial omics to explore the spatial biology intricacies.

Yuan Z, Yao J. Yuan Z, et al. Among authors: yao j. Semin Cancer Biol. 2023 Oct;95:25-41. doi: 10.1016/j.semcancer.2023.06.006. Epub 2023 Jul 2. Semin Cancer Biol. 2023. PMID: 37400044 Review.

7

Multi-center study on predicting breast cancer lymph node status from core needle biopsy specimens using multi-modal and multi-instance deep learning.

Ding Y, Yang F, Han M, Li C, Wang Y, Xu X, Zhao M, Zhao M, Yue M, Deng H, Yang H, Yao J, Liu Y. Ding Y, et al. Among authors: yao j. NPJ Breast Cancer. 2023 Jul 13;9(1):58. doi: 10.1038/s41523-023-00562-x. NPJ Breast Cancer. 2023. PMID: 37443117 Free PMC article.

8

Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer with Deep Learning.

Liu H, Zhao Y, Yang F, Lou X, Wu F, Li H, Xing X, Peng T, Menze B, Huang J, Zhang S, Han A, Yao J, Fan X. Liu H, et al. Among authors: yao j. BME Front. 2022 Mar 16;2022:9860179. doi: 10.34133/2022/9860179. eCollection 2022. BME Front. 2022. PMID: 37850180 Free PMC article.

9

scMHNN: a novel hypergraph neural network for integrative analysis of single-cell epigenomic, transcriptomic and proteomic data.

Li W, Xiang B, Yang F, Rong Y, Yin Y, Yao J, Zhang H. Li W, et al. Among authors: yao j. Brief Bioinform. 2023 Sep 22;24(6):bbad391. doi: 10.1093/bib/bbad391. Brief Bioinform. 2023. PMID: 37930028

10

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.

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