bioRxivBioinformaticsPreprint
Spatial mapping of cell types by integration of transcriptomics data
Alma AnderssoniD, Joseph BergenstråhleiD, Michaela AspiD, Ludvig BergenstråhleiD, Aleksandra Jurek, José Fernández NavarroiD, Joakim LundebergiD
Abstract
Spatial transcriptomics and single cell RNA-sequencing offer complementary insights into the transcriptional expression landscape. We here present a probabilistic method that integrates data from both techniques, leveraging their respective strengths in such a way that we are able to spatially map cell types to a tissue. The method is applied to several different types of tissue where the spatial cell type topographies are successfully delineated.
- assay: spatial transcriptomics
- assay: scRNA-seq
- research focus: spatial domain detection
- approach: statistical model
- Citations
- 13
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