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20 thg 8, 2025 · RCTD has been shown to accurately annotate spatial data from a variety of technologies, including SLIDE-seq, Visium, and the 10x Xenium in-situ spatial platform. To run …
18 thg 2, 2021 · Cell type mapping in spatial transcriptomics is enabled by accounting for compositional mixtures and differences in sequencing technologies.
29 thg 4, 2022 · Previously, RCTD was also applied to this Slide-seq dataset with a matched Drop-seq scRNA-seq reference of the mouse cerebellum 29 to identify beads representing a distinct …
Welcome to spacexr, an R package for learning cell types and cell type-specific differential expression in spatial transcriptomics data. Robust Cell Type Decomposition (RCTD) inputs a …
Welcome to RCTD, an R package for learning cell types and cell type-specific differential expression in spatial transcriptomics data. RCTD inputs a spatial transcriptomics dataset, which consists of a …
Introduction Robust Cell Type Decomposition (RCTD) is a statistical method for decomposing cell type mixtures in spatial transcriptomics data. In this vignette, we will use a simulated dataset to …
11 thg 3, 2025 · 2 Introduction Robust Cell Type Decomposition (RCTD) is a statistical method for decomposing cell type mixtures in spatial transcriptomics data. In this vignette, we will use a …
2 thg 9, 2025 · We will deconvolve spots by applying Robust Cell Type Decomposition (RCTD; Cable, D. M., et al., Nature Biotechnology, 2021), which is implemented in the spacexr package. …
Furthermore, RCTD accurately reproduces known cell type and subtype localization patterns in Slide-seq and Visium datasets of the mouse brain. Finally, we show how RCTD's recovery of cell …
8 thg 5, 2020 · We demonstrate RCTD provides substantial improvement in cell type assignment in Slide-seq data by accurately reproducing known cell type and subtype localization patterns in …
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