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SPICEY

Calculates cell type specificity from single cell data

Bioconductor version: 3.23 · Package version: 1.2.0

SPICEY (SPecificity Index for Coding and Epigenetic activitY) is an R package designed to quantify cell-type specificity in single-cell transcriptomic and epigenomic data, particularly scRNA-seq and scATAC-seq. It introduces two complementary indices: the Gene Expression Tissue Specificity Index (GETSI) and the Regulatory Element Tissue Specificity Index (RETSI), both based on entropy to provide continuous, interpretable measures of specificity. By integrating gene expression and chromatin accessibility, SPICEY enables standardized analysis of cell-type-specific regulatory programs across diverse tissues and conditions.

Installation

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

BiocManager::install("SPICEY")

Details

MaintainerGeorgina Fuentes-Páez <georgina.fuentes@upf.edu>
AuthorGeorgina Fuentes-Páez [aut, cre] (ORCID: <https://orcid.org/0009-0003-9417-7148>), Nacho Molina [aut], Mireia Ramos-Rodriguez [aut], Lorenzo Pasquali [aut], Ministerio de Ciencia e Innovación Spain [fnd] (program: FPI Fellowship)
LicenseArtistic-2.0
URLhttps://georginafp.github.io/SPICEY
Bug Reportshttps://github.com/georginafp/SPICEY/issues
Downloads rank121
Source branchRELEASE_3_23
biocViewsDifferentialExpression, DifferentialPeakCalling, Epigenetics, GeneExpression, GeneRegulation, GeneTarget, SingleCell, Software, Transcription, Transcriptomics

Documentation

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Dependencies

Depends: R (>= 4.5.0), utils, stats, grDevices

Imports: GenomicRanges, GenomicFeatures, AnnotationDbi, S4Vectors, ggplot2, dplyr, tidyr, tibble, GenomeInfoDb, scales, cowplot

Suggests: BiocStyle, knitr, rmarkdown, TxDb.Hsapiens.UCSC.hg38.knownGene, org.Hs.eg.db, testthat (>= 3.0.0)