Package: SPOTlight 1.9.0

Marc Elosua-Bayes

SPOTlight: `SPOTlight`: Spatial Transcriptomics Deconvolution

`SPOTlight`provides a method to deconvolute spatial transcriptomics spots using a seeded NMF approach along with visualization tools to assess the results. Spatially resolved gene expression profiles are key to understand tissue organization and function. However, novel spatial transcriptomics (ST) profiling techniques lack single-cell resolution and require a combination with single-cell RNA sequencing (scRNA-seq) information to deconvolute the spatially indexed datasets. Leveraging the strengths of both data types, we developed SPOTlight, a computational tool that enables the integration of ST with scRNA-seq data to infer the location of cell types and states within a complex tissue. SPOTlight is centered around a seeded non-negative matrix factorization (NMF) regression, initialized using cell-type marker genes and non-negative least squares (NNLS) to subsequently deconvolute ST capture locations (spots).

Authors:Marc Elosua-Bayes [aut, cre], Helena L. Crowell [aut]

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SPOTlight.pdf |SPOTlight.html
SPOTlight/json (API)
NEWS

# Install 'SPOTlight' in R:
install.packages('SPOTlight', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/marcelosua/spotlight/issues

On BioConductor:SPOTlight-1.9.0(bioc 3.20)SPOTlight-1.8.0(bioc 3.19)

bioconductor-package

11 exports 1.45 score 72 dependencies

Last updated 2 months agofrom:2d04d8a461

Exports:getMGSmockSCmockSPplotCorrelationMatrixplotImageplotInteractionsplotSpatialScatterpieplotTopicProfilesrunDeconvolutionSPOTlighttrainNMF

Dependencies:abindaskpassBiobaseBiocGenericsBiocManagercliclustercodetoolscolorspacecrayoncurlDelayedArraydigestdoParallelfansifarverforeachGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2gluegridBasegtablehttrIRangesisobanditeratorsjsonlitelabelinglatticelifecyclemagrittrMASSMatrixMatrixGenericsmatrixStatsmgcvmimemunsellnlmeNMFnnlsopensslpillarpkgconfigplyrR6RColorBrewerRcppregistryreshape2rlangrngtoolsS4ArraysS4VectorsscalesSingleCellExperimentSparseArraysparseMatrixStatsstringistringrSummarizedExperimentsystibbleUCSC.utilsutf8vctrsviridisLitewithrXVectorzlibbioc

Spatial Transcriptomics Deconvolution with SPOTlight

Rendered fromSPOTlight_kidney.Rmdusingknitr::rmarkdownon Jun 17 2024.

Last update: 2024-03-04
Started: 2022-01-26