| Date | First Author | Title | Journal | Code |
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| 20220321 | Runmin Wei | Spatial charting of single-cell transcriptomes in tissues | Nature Biotechnology | R |
| 20220131 | Giovanni Palla | Squidpy: a scalable framework for spatial single cell analysis | Nature Methods | Python |
| 20220113 | Vitalii Kleshchevnikov | Cell2location maps fine-grained cell types in spatial transcriptomics | Nature Biotechnology | PyTorch |
| 20211207 | Stephan Preibisch | Image-based representation of massive spatial transcriptomics datasets | bioRxiv | JAVA |
| 20211129 | Ludvig Bergenstråhle | Super-resolved spatial transcriptomics by deep data fusion | Nature Biotechnology | PyTorch |
| 20211125 | Maria Brbic | Annotation of Spatially Resolved Single-cell Data with STELLAR | bioRxiv | |
| 20211110 | Brendan F. Miller | Reference-free cell-type deconvolution of multi-cellular pixel-resolution spatially resolved transcriptomics data | bioRxiv | R |
| 20211108 | Tamas Ryszard Sztanka-Toth | Spacemake: processing and analysis of large-scale spatial transcriptomics data | bioRxiv | Python |
| 20211028 | Tommaso Biancalani | Deep learning and alignment of spatially resolved single-cell transcriptomes with Tangram | Nature Methods | Pytorch |
| 20211028 | Jian Hu | SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network | Nature Methods | PyTorch |
| 20211014 | Viktor Petukhov | Cell segmentation in imaging-based spatial transcriptomics | Nature Biotechnology | Julia |
| 20210603 | Edward Zhao | Spatial transcriptomics at subspot resolution with BayesSpace | Nature Biotechnology | R |
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20220111-Fabian J. Theis: Learning cellular state and dynamics in single cell genomics (YouTube)
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20211011-Joakim Lundeberg: Spatial Transcriptomics and its application in skin research (YouTube)
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20210810-Edward Zhao: BayesSpace enables the robust characterization of spatial gene expression architecture (YouTube)
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20210607-Omer Bayraktar: Mapping neural cell type diversity using spatial transcriptomics (YouTube)
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20210327-Fei Chen: Next generation tools for spatial genomics (YouTube)
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20210105-Xiaowei Zhuang: Single-Cell Transcriptome Imaging and Brain Cell Atlas (YouTube)
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20201123-James Zou: Deep learning to integrate histology with spatial transcriptomics (YouTube)
| Date | First Author | Title | Journal |
|---|---|---|---|
| 20220207 | Giovanni Palla | Spatial components of molecular tissue biology | Nature Biotechnology |
| 20210811 | Anjali Rao | Exploring tissue architecture using spatial transcriptomics | Nature |
| 20211018 | Kevin M. Boehm | Harnessing multimodal data integration to advance precision oncology | Nature Reviews Cancer |
| 20210601 | Jian Hu | Statistical and machine learning methods for spatially resolved transcriptomics with histology | Computational and Structural Biotechnology Journal |
| 20210106 | - | Method of the Year 2020: spatially resolved transcriptomics | Nature Methods |