Seqtometry

Signature scoring for single cell analysis

Bioconductor version: 3.23 · Package version: 1.0.1

This package provides functions used in Seqtometry (Kousnetsov et al. 2024), a method for analyzing single cell (scRNA-seq or scATAC-seq) data via signature (gene set) enrichment scores. The Seqtometry scores may be useful for annotating or characterizing cells, either in a flow cytometry like workflow (where scores are standalone features used for progressive partitoning as described in the Seqtometry publication) or in a cluster-based workflow (as features of clusters). The exported impute function (a port of Python's MAGIC-impute, van Dijk et al. 2018), may also be useful for single cell analysis on its own.

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("Seqtometry")