Author

Tong Wang

Shanxi Medical UniversityORCID 0000-0002-9403-7167Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Tong Wang6 papers · Augusta University

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:differential expression· 2 Organism:human· 2 Research Focus:cell-cell communication· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:spatial domain detection· 1 Assay:spatial transcriptomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Cherry Weng· 1 shared Gaiqin LiuiD· 1 shared Hongmei YuiD· 1 shared Hongyan Cao· 1 shared Jingyi Xia· 1 shared Long LiuiD· 1 shared Ping ZengiD· 1 shared Qing Ling LuiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperGenetic & Genomic Medicine

Cherry Weng

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

SpatialESD: spatial ensemble domain detection in spatial transcriptomics

Hongyan Cao, Gaiqin Liu, Jingyi Xia, Runle Chen, Tong Wang, Xiaoling Yang, Ruiling Fang, Yanhong Luo, Ping Zeng, Hongmei Yu, Yanbo Zhang, Yuehua Cui

SpatialESD improves spatial domain detection in spatial transcriptomics by integrating multiple methods and capturing both direct and indirect relationships between clusters.

Advanced Science · Feb 12, 2026Peer-reviewedBioinformatics

Explainable deep transfer learning model for disease risk prediction using high-dimensional genomic data

Long Liu, Qingyu Meng, Cherry Weng, Qing Ling Lu, Tong Wang, Yalu Wen

This paper develops an explainable deep transfer learning model for disease risk prediction using high-dimensional genomic data, showing improved performance and biological interpretability.

PLoS Computational Biology · Jul 15, 2022Peer-reviewedGenetic & Genomic Medicine