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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 demonstrate …
19 thg 11, 2022 · 稳健细胞类型分解 (Robust Cell Type Decomposition，简称RCTD)是一种从空间转录组数据中学习细胞类型的统计方法。 在本次示例中，我们将为小脑Slide-seq数据集反卷积注释细胞 …
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 …
11 thg 3, 2025 · 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 …
20 thg 10, 2024 · RCTD 通过整合单细胞和空间转录组学数据，能够较为精确地为空间点（spots）分配细胞类型或细胞类型的混合，以便更好地理解空间组织结构中的基因表达情况。
20 thg 2, 2021 · Spatial mapping of cell types with RCTD enables the spatial components of cellular identity to be defined, uncovering new principles of cellular organization in biological tissue. …
Here we show how to perform cell type deconvolution using RCTD (Robust Cell Type Decomposition). The first step is to read in the reference dataset and create a reference object
18 thg 2, 2021 · Spatial mapping of cell types with RCTD enables the spatial components of cellular identity to be defined, uncovering new principles of cellular organization in biological tissue.
26 thg 2, 2024 · In this document, we run spacexr’s RCTD algorithm on simple synthetic data to infer that the weights matrix should be interpreted as the proportion of RNA molecules …
RCTD learns cell type profiles from the scRNA-seq dataset, and uses these to label the spatial transcriptomics pixels as cell types. RCTD has been tested across a variety of spatial …
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