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Spatial mapping of cell types by integration of transcriptomics data

Andersson, A.; Bergenstråhle, J.; Asp, M.; Navarro, J. F.; Bergenstrahle, L.; Jurek, A.; Lundeberg, J.

2019-12-13 bioinformatics
10.1101/2019.12.13.874495 bioRxiv
Show 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.

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"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.