SPOTlight

Spatial Transcriptomics Capture Location Deconvolution

https://github.com/marcelosua/spotlight

Science Score: 36.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 1 DOI reference(s) in README
  • Academic publication links
  • Committers with academic emails
    2 of 6 committers (33.3%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (7.4%) to scientific vocabulary

Keywords from Contributors

bioconductor-package bioconductor grna-sequence single-cell recount limma normalization bioc gc-ms core-package
Last synced: 10 months ago · JSON representation

Repository

Spatial Transcriptomics Capture Location Deconvolution

Basic Info
Statistics
  • Stars: 189
  • Watchers: 2
  • Forks: 25
  • Open Issues: 12
  • Releases: 1
Created over 6 years ago · Last pushed about 1 year ago
Metadata Files
Readme Changelog License

README.md

Welcome to SPOTlight

Bioconductor Time Bioconductor Downloads Support posts

Current build status - release Bioconductor Availability Bioconductor Dependencies Bioconductor Commits Bioconductor Release Build - development Bioconductor Availability Bioconductor Dependencies Bioconductor Commits Bioconductor Devel Build

We are currently on the process of submitting SPOTlight to bioconductor and there have been some styling changes on this branch compared to previous releases. If you want to use the version we are currently submitting feel free to look at the updated vignette here. If you want to keep using the previous versions, you can still find it in the spotlight-0.1.7 branch and follow the previous vignette.

SPOTlight provides a tool that enables the deconvolution of mixtures of cells from a single-cell reference. Originally developed for 10X's Visium - spatial transcriptomics- technology, it can be used for all technologies that output mixtures of cells. It is compatible with Bioconductor's SingleCellExperiment and SpatialExperiment classes as well as dense and sparse matrices. Furthermore, the package also provides visualization tools to assess the results of the deconvolution. Briefly, SPOTlight is based on finding topic profile signatures, by means of an NMFreg model, for each cell type and then optimizing the cell types proportions to fit the mixture we want to deconvolute.

Installation

``` r install.packages("BiocManager") BiocManager::install("SPOTlight")

Or the devel version

BiocManager::install("SPOTlight", version = "devel") ```

Alternatively, you can install it from GitHub using the devtools package.

r install.packages("devtools") library(devtools) install_github("https://github.com/MarcElosua/SPOTlight")

References

  • Elosua-Bayes M, Nieto P, Mereu E, Gut I, Heyn H (2021): SPOTlight: seeded NMF regression to deconvolute spatial transcriptomics spots with single-cell transcriptomes. Nucleic Acids Res 49(9):e50. doi:10.1093/nar/gkab043.

Contributors

SPOTlight was originally developed by Marc Elosua Bayes and has received substantial additional contributions from Helena L. Crowell.

Issues - Ideas?

SPOTlight is still under active development. We greatly welcome (and highly encourage!) all feedback, bug reports and suggestions for improvement here. Please make sure to raise issues with a reproducible example and the output of your sessionInfo().

Owner

  • Name: Marc Elosua Bayés
  • Login: MarcElosua
  • Kind: user
  • Location: Barcelona
  • Company: CNAG-CRG

🛶

GitHub Events

Total
  • Issues event: 5
  • Watch event: 25
  • Issue comment event: 3
  • Push event: 2
  • Create event: 1
Last Year
  • Issues event: 5
  • Watch event: 25
  • Issue comment event: 3
  • Push event: 2
  • Create event: 1

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 469
  • Total Committers: 6
  • Avg Commits per committer: 78.167
  • Development Distribution Score (DDS): 0.049
Past Year
  • Commits: 11
  • Committers: 4
  • Avg Commits per committer: 2.75
  • Development Distribution Score (DDS): 0.636
Top Committers
Name Email Commits
MarcElosua e****c@g****m 446
HelenaLC h****a@c****u 13
Federico Marini m****f@u****e 4
Nitesh Turaga n****a@g****m 2
J Wokaty j****y@s****u 2
J Wokaty j****y 2
Committer Domains (Top 20 + Academic)

Packages

  • Total packages: 3
  • Total downloads:
    • bioconductor 15,042 total
  • Total dependent packages: 0
    (may contain duplicates)
  • Total dependent repositories: 0
    (may contain duplicates)
  • Total versions: 10
  • Total maintainers: 1
proxy.golang.org: github.com/marcelosua/spotlight
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 5.4%
Average: 5.6%
Dependent repos count: 5.8%
Last synced: 11 months ago
proxy.golang.org: github.com/MarcElosua/SPOTlight
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 5.4%
Average: 5.6%
Dependent repos count: 5.8%
Last synced: 11 months ago
bioconductor.org: SPOTlight

`SPOTlight`: Spatial Transcriptomics Deconvolution

  • Versions: 8
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 15,042 Total
Rankings
Dependent repos count: 0.0%
Dependent packages count: 0.0%
Stargazers count: 1.5%
Forks count: 3.0%
Average: 16.3%
Downloads: 77.0%
Maintainers (1)
Last synced: 11 months ago

Dependencies

DESCRIPTION cran
  • R >= 4.1 depends
  • Matrix * imports
  • NMF * imports
  • SingleCellExperiment * imports
  • ggplot2 * imports
  • matrixStats * imports
  • nnls * imports
  • stats * imports
  • BiocStyle * suggests
  • DelayedArray * suggests
  • ExperimentHub * suggests
  • S4Vectors * suggests
  • Seurat * suggests
  • SeuratObject * suggests
  • SpatialExperiment * suggests
  • SummarizedExperiment * suggests
  • TENxVisiumData * suggests
  • TabulaMurisSenisData * suggests
  • colorBlindness * suggests
  • ggcorrplot * suggests
  • grDevices * suggests
  • grid * suggests
  • igraph * suggests
  • jpeg * suggests
  • knitr * suggests
  • methods * suggests
  • png * suggests
  • rmarkdown * suggests
  • scater * suggests
  • scatterpie * suggests
  • scran * suggests
  • testthat * suggests