Spatial Transcriptomics Integration
Spatial Transcriptomics Integration is a computational framework that combines spatially resolved transcriptomic data with complementary molecular or imaging datasets to reconstruct gene expression landscapes within their native tissue architectures, thereby enabling the contextual interpretation of transcriptional activity at cellular or subcellular resolution.
142
Publications
16.2K
Citations
1.4K
Authors
474
Institutions
Publications per year
2017–2026
141
Parents
142
Multimodal Analysis of Composition and Spatial Architecture in Human Squamous Cell Carcinoma
Andrew L. Ji, Adam J. Rubin, Kim Thrane et al. · Cell · 2020 · 1.1K citations · Full text
Medicine, Cell Biology, Oncology +17
Spatial Transcriptomics and In Situ Sequencing to Study Alzheimer’s Disease
Wei-Ting Chen, Ashley Lu, Katleen Craessaerts et al. · Cell · 2020 · 957 citations · Full text
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KTH Royal Institute of Technology
Stockholm, Sweden
11 h-index
54 publications
14.9K citations
Harvard University
Cambridge, United States
11 h-index
31 publications
3.3K citations
Science for Life Laboratory
Stockholm, Sweden
11 h-index
64 publications
13.4K citations

Chinese Academy of Sciences
Beijing, China
10 h-index
29 publications
2K citations

Karolinska Institutet
Stockholm, Sweden
8 h-index
36 publications
1.9K citations
University of Chinese Academy of Sciences
Beijing, China
8 h-index
16 publications
1.1K citations

Broad Institute
Cambridge, United States
7 h-index
28 publications
3.7K citations
Memorial Sloan Kettering Cancer Center
New York, United States
7 h-index
19 publications
2.5K citations
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Repository · 25 publications · 1K citations
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6 publications · 1.8K citations
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5 publications · 1.1K citations
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