Metacell-2: a divide-and-conquer metacell algorithm for scalable …
2022年4月19日 · We introduce Metacell-2, a recursive divide-and-conquer algorithm allowing efficient decomposition of scRNA-seq datasets of any size into small and cohesive groups of cells called metacells. Metacell-2 improves outlier cell detection and rare cell type identification, as shown with human bone marrow cell atlas and mouse embryonic data.
Metacells untangle large and complex single-cell transcriptome …
2022年8月13日 · By capitalizing on the redundancy inherent to scRNA-seq data, metacells significantly facilitate and accelerate the construction and interpretation of single-cell atlases, as demonstrated by the integration of 1.46 million cells from COVID-19 patients in less than two hours on a standard desktop.
Metacells untangle large and complex single-cell transcriptome
2022年8月13日 · By capitalizing on the redundancy inherent to scRNA-seq data, metacells significantly facilitate and accelerate the construction and interpretation of single-cell atlases, as demonstrated by the integration of 1.46 million cells from COVID-19 patients in less than two hours on a standard desktop.
Metacell-2: a divide-and-conquer metacell algorithm for ... - PubMed
2022年4月19日 · We introduce Metacell-2, a recursive divide-and-conquer algorithm allowing efficient decomposition of scRNA-seq datasets of any size into small and cohesive groups of cells called metacells. Metacell-2 improves outlier cell detection and rare cell type identification, as shown with human bone marrow cell atlas and mouse embryonic data.
单细胞聚类分析方法之Metacell - 知乎 - 知乎专栏
2021年1月7日 · 这里介绍一个叫做‘Metacell’的方法， MetaCell: analysis of single-cell RNA-seq data using K -nn graph partitions，做成了R包，发表在Genome Biology上。 这个方法只需要single cell expression matrix输入数据，聚类完全依赖数据自己contain的信息量。 由于其中包含了bootstrap，具有良好的稳定性。 图A显示了Metacell的分析流程，读入expression matrix之后，首先选择高变异gene，利用这些gene，计算细胞与细胞之间的距离，对.
MetaCell: analysis of single cell RNA-seq data using k-NN graph ...
2018年10月8日 · We illustrate the MetaCell framework by re-analyzing cell type and transcriptional gradients in peripheral blood and whole organism scRNA-seq maps. Our algorithms are implemented in the new MetaCell R/C++ software package.
MetaCell: analysis of single-cell RNA-seq data using
2019年10月11日 · In this paper, we introduce the notion of metacells and develop a methodology for inferring and using them. A metacell (abbreviated MC) is in theory a group of scRNA-seq cell profiles that are statistically equivalent to samples derived from the same RNA pool.
Metacell-based differential expression analysis identifies cell type ...
2024年4月5日 · By profiling gene expression in individual cells, single-cell RNA-sequencing (scRNA-seq) can resolve cellular heterogeneity and cell-type gene expression dynamics. Its application to...
A divide and conquer metacell algorithm for scalable scRNA
2021年8月8日 · Here we introduce Metacell-2, a recursive divide and conquer algorithm allowing efficient decomposition of scRNA-seq datasets of any size into small and cohesive groups of cells denoted as metacells. We show the algorithm outperforms current solutions in …
SEACells infers transcriptional and epigenomic cellular states from ...
2023年3月27日 · Metacells are cell groupings derived from single-cell sequencing data that represent highly granular, distinct cell states. Here we present single-cell aggregation of cell states (SEACells), an...