spots

Statistical analysis for spatial omics data

https://github.com/stevexniu/spots

Science Score: 23.0%

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    Found 8 DOI reference(s) in README
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    Low similarity (14.1%) to scientific vocabulary

Keywords

rstats single-cell spatial-data-analysis spatial-statistics spatial-transcriptomics
Last synced: 6 months ago · JSON representation

Repository

Statistical analysis for spatial omics data

Basic Info
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Topics
rstats single-cell spatial-data-analysis spatial-statistics spatial-transcriptomics
Created almost 4 years ago · Last pushed over 3 years ago
Metadata Files
Readme License

README.md

CRAN status Build status Build Status R-CMD-check codecov DOI

spots: Spatial Component Analysis

The spots package is designed for spatial omics (10x Visium, etc.) data analysis.

It performs various statistical analyses and tests, including spatial component analysis (SCA), both global and local spatial statistics, such as univariate and bivariate Moran's I, Getis-Ord Gi* statistics, etc.

See Integrated protein and transcriptome high-throughput spatial profiling (2022) for more details.

Installation

Install from CRAN release:

r install.packages("spots")

Install from Github:

r install.packages("devtools") devtools::install_github("stevexniu/spots")

Install the light-weight spots-feather without eign decomposition (SCA functionality).

r install.packages("devtools") devtools::install_github("stevexniu/spots", ref = "feather")

Usage

See tutorials:

SCA vs PCA

Get Started

Spatial Statistics

Citation

You can cite spots using this DOI:

DOI

© X. Steve Niu from Landau Lab, Weill Cornell Medicine and New York Genome Center

Owner

  • Name: Steve Niu
  • Login: stevexniu
  • Kind: user
  • Location: NYC
  • Company: Tri-Institutional PhD Program in Computational Biology & Medicine

PhD student at Weill Cornell Medicine

GitHub Events

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Packages

  • Total packages: 1
  • Total downloads: unknown
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 1
cran.r-project.org: spots

Spatial Component Analysis

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 29.8%
Average: 32.6%
Dependent repos count: 35.5%
Last synced: over 2 years ago

Dependencies

DESCRIPTION cran
  • R >= 4.0.0 depends
  • Matrix * imports
  • RSpectra * imports
  • methods * imports
  • stats * imports
  • tools * imports
  • utils * imports
  • ape * suggests
  • covr * suggests
  • knitr * suggests
  • rmarkdown * suggests
  • testthat >= 3.0.0 suggests