retrofit
RETROFIT: Reference-free deconvolution of cell mixtures in spatial transcriptomics
Bioconductor version: 3.24 · Package version: 1.13.0
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
| Maintainer | Adam Park <akp6031@psu.edu> |
| Author | Adam 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>) |
| License | GPL-3 |
| URL | https://github.com/qunhualilab/retrofit |
| Bug Reports | https://github.com/qunhualilab/retrofit/issues |
| Downloads rank | 340 |
| Source branch | devel |
| biocViews | Bayesian, DimensionReduction, FeatureExtraction, GeneExpression, RNASeq, SingleCell, Software, Spatial, Transcriptomics, Visualization |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | retrofit_1.13.0.tar.gz |
| Windows binary (x86_64) | retrofit_1.13.0.zip |
| macOS binary (arm64) | retrofit_1.13.0.tgz |
| macOS binary (x86_64) | retrofit_1.13.0.tgz |