TīmeklisClone of the Bioconductor repository for the scRNAseq package. - scRNAseq/LaMannoBrainData.Rd at master · LTLA/scRNAseq Tīmeklisfn <- system.file("extdata", "LaMannoBrainData.gds", package="SCArray") cnt <- scArray(fn, "counts") cnt scClose Close the Single-cell GDS File Description Closes a single-cell GDS file which is open. Usage scClose(gdsfile) 4 scConvGDS Arguments gdsfile a single-cell GDS object with class SCArrayFileClass Value None. Author(s)
scRNAseq: Collection of Public Single-Cell RNA-Seq Datasets
Tīmeklis2024. gada 18. nov. · library(scRNAseq) sce <- LaMannoBrainData("mouse-embryo") seurat <- as.Seurat(sce) # Error: No data in provided assay - logcounts Seurat … TīmeklisI'm using SingleR to annotate cell types in my single cell data but I recently discover a potential problem. It seems there is no minimum treshold for the correlations used for the transfer - meaning predictions will (almost) always be made even if the data does make sense. To illustrate this point lets use at the example from the vignette. edward don \u0026 com
scRNAseq/LaMannoBrainData.R at master · LTLA/scRNAseq · …
TīmeklisPollen, A. A. et al. Low-coverage single-cell mRNA sequencing reveals cellular heterogeneity and activated signaling pathways in developing cerebral cortex. Nat. … TīmeklisSingleR包通过利用纯细胞类型的参考转录组数据集独立推断每个单细胞的起源细胞,从单细胞RNA测序数据执行无偏细胞类型识别。 TīmeklisThe easiest way to use SingleR is to annotate cells against built-in references. In particular, the celldex package provides access to several reference datasets (mostly … edward don \u0026 company phone number