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
| Maintainer | Georgina Fuentes-Páez <georgina.fuentes@upf.edu> |
| Author | Georgina 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) |
| License | Artistic-2.0 |
| URL | https://georginafp.github.io/SPICEY |
| Bug Reports | https://github.com/georginafp/SPICEY/issues |
| Downloads rank | 121 |
| Source branch | RELEASE_3_23 |
| biocViews | DifferentialExpression, 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)