Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data

Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data

Abstract Spatial transcriptomics maps gene expression across tissues, posing the challenge of determining the spatial arrangement of different cell types. However, spatial transcriptomics spots contain multiple cells. Therefore, the observed signal comes from mixtures of cells of different types. He...

Full description

Bibliographic Details
Main Authors: Agnieszka Geras, Shadi Darvish Shafighi, Kacper Domżał, Igor Filipiuk, Alicja Rączkowska, Paulina Szymczak, Hosein Toosi, Leszek Kaczmarek, Łukasz Koperski, Jens Lagergren, Dominika Nowis, Ewa Szczurek
Format: Article
Language:English
Published: BMC 2023-05-01
Series:Genome Biology
Subjects:
Probabilistic model
MCMC sampling
Spatial transcriptomics data
Cell types
Online Access:https://doi.org/10.1186/s13059-023-02951-8

Internet

https://doi.org/10.1186/s13059-023-02951-8

Similar Items