Computational Approaches and Challenges in Spatial Transcriptomics
2022 · Genomics Proteomics & Bioinformatics · 135 citations
https://doi.org/10.1016/j.gpb.2022.10.001
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Shuangsang Fang
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Shuangsang Fang is an academic researcher from BGI Group (China). The author has contributed to research in topics: Single-cell and spatial transcriptomics & Gene expression and cancer classification & Cell Image Analysis Techniques. The author has an h-index of 8, co-authored 28 publications.
ORCID: 0000-0002-4126-0074Papers by this author
worksStereopy: modeling comparative and spatiotemporal cellular heterogeneity via multi-sample spatial transcriptomics
2023 · bioRxiv (Cold Spring Harbor Laboratory) · 24 citations
https://doi.org/10.1101/2023.12.04.569485
CellBin: a highly accurate single-cell gene expression processing pipeline for high-resolution spatial transcriptomics
2023 · bioRxiv (Cold Spring Harbor Laboratory) · 20 citations
https://doi.org/10.1101/2023.02.28.530414
ST-GEARS: Advancing 3D downstream research through accurate spatial information recovery
2024 · Nature Communications · 8 citations
https://doi.org/10.1038/s41467-024-51935-0
spatiAlign: An Unsupervised Contrastive Learning Model for Data Integration of Spatially Resolved Transcriptomics
2023 · bioRxiv (Cold Spring Harbor Laboratory) · 5 citations
https://doi.org/10.1101/2023.08.08.552402
Generating single-cell gene expression profiles for high-resolution spatial transcriptomics based on cell boundary images
2024 · Gigabyte · 5 citations
https://doi.org/10.46471/gigabyte.110
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