Performs unbiased cell type recognition from single-cell RNA sequencing data, by leveraging reference transcriptomic datasets of pure cell types to infer the ...
Here, we present SingleR, a novel computational method for unbiased cell type recognition of scRNA-seq. SingleR leverages reference transcriptomic datasets of ...
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What is SingleR?
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These methods compare cells in a new dataset against curated reference profiles of known cell types, assigning each new cell to the reference type that its ...
Jan 1, 2024 · SingleR leverages reference transcriptomic datasets of pure cell types to infer the cell of origin of each of the single cells independently.
May 18, 2023 · One of the most challenging task in processing single-cell RNA-Seq data is to annotate cell types. In this video I walk through what is a ...
Man pages for SingleR. Reference-Based Single-Cell RNA-Seq Annotation ; classifySingleR, Classify cells with SingleR ; combineCommonResults, Combine SingleR ...
Apr 24, 2022 · SingleR with built in reference 5:29 Mapping labels from other single-cell data. Label single-cell RNA data automatically with SingleR in R.
The SingleR() function annotates each cell in a test dataset given a reference dataset with known labels. Documentation and basic examples can be accessed with ...
Performs unbiased cell type recognition from single-cell RNA sequencing data, by leveraging reference transcriptomic datasets of pure cell types to infer the ...
Performs unbiased cell type recognition from single-cell RNA sequencing data, by leveraging reference transcriptomic datasets of pure cell types to infer ...