Package: retrofit 1.5.0
retrofit: RETROFIT: Reference-free deconvolution of cell mixtures in spatial transcriptomics
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.
Authors:
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retrofit.pdf |retrofit.html✨
retrofit/json (API)
NEWS
# Install 'retrofit' in R: |
install.packages('retrofit', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/qunhualilab/retrofit/issues
- testSimulationData - Simulation data
- vignetteColonData - Colon vignette
- vignetteSimulationData - Simulation vignette
On BioConductor:retrofit-1.5.0(bioc 3.20)retrofit-1.4.0(bioc 3.19)
Last updated 2 months agofrom:7dc1ce2cfe
Exports:annotateWithCorrelationsannotateWithMarkersdecomposeretrofit
Dependencies:Rcpp
Readme and manuals
Help Manual
Help page | Topics |
---|---|
RETROFIT matching algorithm | annotateWithCorrelations |
RETROFIT matching algorithm | annotateWithMarkers |
RETROFIT decomposition algorithm | decompose |
RETROFIT | retrofit |
simulation data | testSimulationData |
colon vignette | vignetteColonData |
simulation vignette | vignetteSimulationData |