demuxSNP
scRNAseq demultiplexing using cell hashing and SNPs
Bioconductor version: 3.23 · Package version: 1.10.0
This package assists in demultiplexing scRNAseq data using both cell hashing and SNPs data. The SNP profile of each group os learned using high confidence assignments from the cell hashing data. Cells which cannot be assigned with high confidence from the cell hashing data are assigned to their most similar group based on their SNPs. We also provide some helper function to optimise SNP selection, create training data and merge SNP data into the SingleCellExperiment framework.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("demuxSNP") Details
| Maintainer | Michael Lynch <michael.lynch@ul.ie> |
| Author | Michael Lynch [aut, cre] (ORCID: <https://orcid.org/0000-0001-9535-6461>), Aedin Culhane [aut] (ORCID: <https://orcid.org/0000-0002-1395-9734>) |
| License | GPL-3 |
| URL | https://github.com/michaelplynch/demuxSNP |
| Bug Reports | https://github.com/michaelplynch/demuxSNP/issues |
| Downloads rank | 225 |
| Source branch | RELEASE_3_23 |
| biocViews | Classification, SingleCell, Software |
Documentation
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Dependencies
Depends: R (>= 4.3.0), SingleCellExperiment, VariantAnnotation, ensembldb
Imports: MatrixGenerics, BiocGenerics, class, Seqinfo, IRanges, Matrix, SummarizedExperiment, demuxmix, methods, KernelKnn, dplyr
Suggests: knitr, rmarkdown, ComplexHeatmap, viridisLite, ggpubr, dittoSeq, EnsDb.Hsapiens.v86, BiocStyle, RefManageR, testthat (>= 3.0.0), Seurat