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retrofit

RETROFIT: Reference-free deconvolution of cell mixtures in spatial transcriptomics

Bioconductor version: 3.23 · Package version: 1.12.0

RETROFIT is a Bayesian non-negative matrix factorization framework to decompose cell type mixtures in ST data without using external single-cell expression references. RETROFIT outperforms existing reference-based methods in estimating cell type proportions and reconstructing gene expressions in simulations with varying spot size and sample heterogeneity, irrespective of the quality or availability of the single-cell reference. RETROFIT recapitulates known cell-type localization patterns in a Slide-seq dataset of mouse cerebellum without using any single-cell data.

Installation

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

BiocManager::install("retrofit")

Details

MaintainerAdam Park <akp6031@psu.edu>
AuthorAdam Park [aut, cre], Roopali Singh [aut] (ORCID: <https://orcid.org/0000-0001-6539-6622>), Xiang Zhu [aut] (ORCID: <https://orcid.org/0000-0003-1134-6413>), Qunhua Li [aut] (ORCID: <https://orcid.org/0000-0003-0675-7648>)
LicenseGPL-3
URLhttps://github.com/qunhualilab/retrofit
Bug Reportshttps://github.com/qunhualilab/retrofit/issues
Downloads rank195
Source branchRELEASE_3_23
biocViewsBayesian, DimensionReduction, FeatureExtraction, GeneExpression, RNASeq, SingleCell, Software, Spatial, Transcriptomics, Visualization

Documentation

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Dependencies

Depends: R (>= 4.2), Rcpp

LinkingTo: Rcpp

Suggests: BiocStyle, knitr, rmarkdown, testthat, DescTools, ggplot2, corrplot, cowplot, grid, colorspace, png, reshape2, pals, RCurl