SpaDecon: cell-type deconvolution in spatial transcriptomics with semi-supervised learning
SpaDecon is a semi-supervised learning-based method for cell-type deconvolution of spatially resolved transcriptomics (SRT) data that is also computationally fast and memory efficient for large-scale SRT studies.
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-04-01
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| Series: | Communications Biology |
| Online Access: | https://doi.org/10.1038/s42003-023-04761-x |
| _version_ | 1797849910865821696 |
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| author | Kyle Coleman Jian Hu Amelia Schroeder Edward B. Lee Mingyao Li |
| author_facet | Kyle Coleman Jian Hu Amelia Schroeder Edward B. Lee Mingyao Li |
| author_sort | Kyle Coleman |
| collection | DOAJ |
| description | SpaDecon is a semi-supervised learning-based method for cell-type deconvolution of spatially resolved transcriptomics (SRT) data that is also computationally fast and memory efficient for large-scale SRT studies. |
| first_indexed | 2024-04-09T18:51:48Z |
| format | Article |
| id | doaj.art-89c1ca5951c34a6f80c7a259d6bbc7e5 |
| institution | Directory Open Access Journal |
| issn | 2399-3642 |
| language | English |
| last_indexed | 2024-04-09T18:51:48Z |
| publishDate | 2023-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Communications Biology |
| spelling | doaj.art-89c1ca5951c34a6f80c7a259d6bbc7e52023-04-09T11:24:38ZengNature PortfolioCommunications Biology2399-36422023-04-016111310.1038/s42003-023-04761-xSpaDecon: cell-type deconvolution in spatial transcriptomics with semi-supervised learningKyle Coleman0Jian Hu1Amelia Schroeder2Edward B. Lee3Mingyao Li4Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of PennsylvaniaDepartment of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of PennsylvaniaDepartment of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of PennsylvaniaTranslational Neuropathology Research Laboratory, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of PennsylvaniaDepartment of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of PennsylvaniaSpaDecon is a semi-supervised learning-based method for cell-type deconvolution of spatially resolved transcriptomics (SRT) data that is also computationally fast and memory efficient for large-scale SRT studies.https://doi.org/10.1038/s42003-023-04761-x |
| spellingShingle | Kyle Coleman Jian Hu Amelia Schroeder Edward B. Lee Mingyao Li SpaDecon: cell-type deconvolution in spatial transcriptomics with semi-supervised learning Communications Biology |
| title | SpaDecon: cell-type deconvolution in spatial transcriptomics with semi-supervised learning |
| title_full | SpaDecon: cell-type deconvolution in spatial transcriptomics with semi-supervised learning |
| title_fullStr | SpaDecon: cell-type deconvolution in spatial transcriptomics with semi-supervised learning |
| title_full_unstemmed | SpaDecon: cell-type deconvolution in spatial transcriptomics with semi-supervised learning |
| title_short | SpaDecon: cell-type deconvolution in spatial transcriptomics with semi-supervised learning |
| title_sort | spadecon cell type deconvolution in spatial transcriptomics with semi supervised learning |
| url | https://doi.org/10.1038/s42003-023-04761-x |
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