SpatialPrompt: spatially aware scalable and accurate tool for spot deconvolution and domain identification in spatial transcriptomics
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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SpatialPrompt: spatially aware scalable and accurate tool for spot deconvolution and domain identification in spatial transcriptomics ; volume:7 ; number:1 ; day:25 ; month:5 ; year:2024 ; pages:1-15 ; date:12.2024
Communications biology ; 7, Heft 1 (25.5.2024), 1-15, 12.2024
- Creator
- Contributor
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SpringerLink (Online service)
- DOI
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10.1038/s42003-024-06349-5
- URN
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urn:nbn:de:101:1-2408051210552.845109196154
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:48 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Swain, Asish Kumar
- Pandit, Vrushali
- Sharma, Jyoti
- Yadav, Pankaj
- SpringerLink (Online service)
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SONAR enables cell type deconvolution with spatially weighted Poisson-Gamma model for spatial transcriptomics
Spatially aware dimension reduction for spatial transcriptomics
Spatial transcriptomics deconvolution at single-cell resolution using Redeconve
Unsupervised spatially embedded deep representation of spatial transcriptomics
SMART: spatial transcriptomics deconvolution using marker-gene-assisted topic model
SRTsim: spatial pattern preserving simulations for spatially resolved transcriptomics
Deciphering spatial domains from spatially resolved transcriptomics through spatially regularized deep graph networks
Evaluating spatially variable gene detection methods for spatial transcriptomics data
Interpretable spatially aware dimension reduction of spatial transcriptomics with STAMP
Spatially Informed Graph Structure Learning Extracts Insights from Spatial Transcriptomics
SpatialDWLS: accurate deconvolution of spatial transcriptomic data
Spatial-ID: a cell typing method for spatially resolved transcriptomics via transfer learning and spatial embedding
SONAR enables cell type deconvolution with spatially weighted Poisson-Gamma model for spatial transcriptomics
Spatially aware dimension reduction for spatial transcriptomics
Spatial transcriptomics deconvolution at single-cell resolution using Redeconve
Unsupervised spatially embedded deep representation of spatial transcriptomics
SMART: spatial transcriptomics deconvolution using marker-gene-assisted topic model
SRTsim: spatial pattern preserving simulations for spatially resolved transcriptomics
Deciphering spatial domains from spatially resolved transcriptomics through spatially regularized deep graph networks
Evaluating spatially variable gene detection methods for spatial transcriptomics data
Interpretable spatially aware dimension reduction of spatial transcriptomics with STAMP
Spatially Informed Graph Structure Learning Extracts Insights from Spatial Transcriptomics
SpatialDWLS: accurate deconvolution of spatial transcriptomic data