Spatial Transcriptomics
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Img2ST-Net: efficient high-resolution spatial omics prediction from whole-slide histology images via fully convolutional image-to-image learning
Zhu, Junchao; Deng, Ruining; Guo, Junlin; Yao, Tianyuan; Xiong, Juming; Qu, Chongyu; Yin, Mengmeng; Wang, Yu; Zhao, Shilin; Yang, Haichun; Xu, Daguang; Tang, Yucheng; & Huo, Yuankai. (2025). Img2ST-Net: Efficient high-resolution spatial omics prediction from whole-slide histology images via fully convolutional image-to-image learning. Journal of Medical Imaging, 12(6), 61410. https://doi.org/10.1117/1.JMI.12.6.061410… Read MoreJan. 28, 2026
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Microenvironment-aware spatial modeling for accurate inference of cell identity
Liu, Qi; Wang, Yu; Hsu, Chihyuan; Wanjalla, Celestine N.; Lau, Ken S.; & Shyr, Yu. (2026). Microenvironment-aware spatial modeling for accurate inference of cell identity. Nucleic Acids Research, 54(1). https://doi.org/10.1093/nar/gkaf1477 Spatial omics technologies make it possible to measure many molecular features in cells while also preserving information about… Read MoreJan. 28, 2026
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An integrated single-cell and spatial transcriptomic atlas of thyroid cancer progression identifies prognostic fibroblast subpopulations
Loberg, Matthew A.; Chen, Sheauchiann; Chen, Huachang; Wahoski, Claudia C.; Caroland, Kailey; Tigue, Megan L.; Hartmann, Heather A.; Gallant, Jean Nicolas; Phifer, Courtney J.; Ocampo, Andres A.; Wang, Dayle K.; Fankhauser, Reilly G.; Karunakaran, Kirti A.; Wu, Chiachin; Tarabichi, Maxime; Shaddy, Sophia M.; Netterville, James L.; Rohde, Sarah… Read MoreJan. 28, 2026
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MaskGraphene: an advanced framework for interpretable joint representation for multi-slice, multi-condition spatial transcriptomics
Hu, Yunfei., Lin, Zhenhan., Xie, Manfei., Yuan, Weiman., Li, Yikang., Rao, Mingxing., Liu, Yichen Henry., Shen, Wenjun., Zhang, Lu., & Zhou, Xin Maizie. (2025). MaskGraphene: an advanced framework for interpretable joint representation for multi-slice, multi-condition spatial transcriptomics. Genome Biology, 26(1), 380. https://doi.org/10.1186/s13059-025-03850-w Recent advances in spatial transcriptomics (ST),… Read MoreNov. 23, 2025
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Integration of elemental imaging and spatial transcriptomic profiling for proof-of-concept metals-based pathway analysis of colon tumor microenvironment
Srivastava, Aruesha., Shaik, Neha., Lu, Yunrui., Chan, Matthew., Diallo, Alos B., Zavras, John P., Han, Serin., Punshon, Tracy., Jackson, Brian Phillip., Vahdat, Linda T., Liu, Xiaoying., Mittal, Vivek., Lau, Ken S., Gui, Jiang., Vaickus, Louis J., Hoopes, Jack., Kolling, Fred W., Perreard, Laurent., Marotti, Jonathan Douglas., & Levy,… Read MoreNov. 23, 2025
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StImage: A versatile framework for optimizing spatial transcriptomic analysis through customizable deep histology and location informed integration
Wang, Yu, Yang, Haichun, Deng, Ruining, Huo, Yuankai, Liu, Qi, Shyr, Yu, & Zhao, Shilin. (2025). StImage: A versatile framework for optimizing spatial transcriptomic analysis through customizable deep histology and location informed integration. Briefings in Bioinformatics, 26(5), bbaf429. https://doi.org/10.1093/bib/bbaf429 Spatial transcriptomics (ST) is a… Read MoreSep. 26, 2025
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PoweREST: Statistical power estimation for spatial transcriptomics experiments to detect differentially expressed genes between two conditions
Shui, Lan, Maitra, Anirban, Yuan, Ying, Lau, Ken S., Kaur, Harsimran, Li, Liang, & Li, Ziyi. (2025). “PoweREST: Statistical power estimation for spatial transcriptomics experiments to detect differentially expressed genes between two conditions.” PLOS Computational Biology, 21(7), e1013293. https://doi.org/10.1371/journal.pcbi.1013293 Recent advances in spatial transcriptomics (ST)—a… Read MoreAug. 25, 2025