Science Score: 39.0%

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

  • CITATION.cff file
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    Found .zenodo.json file
  • DOI references
    Found 2 DOI reference(s) in README
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  • Scientific vocabulary similarity
    Low similarity (9.1%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Basic Info
Statistics
  • Stars: 4
  • Watchers: 1
  • Forks: 1
  • Open Issues: 1
  • Releases: 0
Created over 3 years ago · Last pushed about 1 year ago
Metadata Files
Readme Changelog

README.md

DESpace: a framework to discover spatially variable genes and differential spatial patterns across conditions

Alt text

DESpace is a framework for identifying spatially variable genes (SVGs), a common task in spatial transcriptomics analyses, and differential spatial variable pattern (DSP) genes, which identify differences in spatial gene expression patterns across experimental conditions.

By leveraging pre-annotated spatial clusters as summarized spatial information, DESpace models gene expression with a negative binomial (NB), via edgeR, with spatial clusters as covariates. SV genes are then identified by testing the significance of spatial clusters.

For multi-sample, multi-condition datasets, again we fit a NB model via edgeR, but this time we use spatial clusters, conditions and their interactions as covariates. DSP genes are then identified by testing the interaction between spatial clusters and conditions.

Check the vignettes for a description of the main conceptual and mathematical aspects, as well as usage guidelines.

Peiying Cai, Mark D. Robinson, and Simone Tiberi (2024).

DESpace: spatially variable gene detection via differential expression testing of spatial clusters.

Bioinformatics. Available here

Bioconductor installation

DESpace is available on Bioconductor and can be installed with the command: r if (!requireNamespace("BiocManager", quietly=TRUE)) install.packages("BiocManager") BiocManager::install("DESpace")

Vignette

The vignette illustrating how to use the package can be accessed on Bioconductor or from R via: r vignette("DESpace") or r browseVignettes("DESpace")

Owner

  • Login: peicai
  • Kind: user

GitHub Events

Total
  • Issues event: 3
  • Delete event: 2
  • Issue comment event: 3
  • Push event: 27
  • Pull request event: 4
  • Create event: 4
Last Year
  • Issues event: 3
  • Delete event: 2
  • Issue comment event: 3
  • Push event: 27
  • Pull request event: 4
  • Create event: 4

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 38
  • Total Committers: 10
  • Avg Commits per committer: 3.8
  • Development Distribution Score (DDS): 0.763
Past Year
  • Commits: 38
  • Committers: 10
  • Avg Commits per committer: 3.8
  • Development Distribution Score (DDS): 0.763
Top Committers
Name Email Commits
peicai 5****i 9
Simone Tiberi s****i@u****t 8
peicai p****i@g****m 5
Peiying Cai p****i@m****l 5
Peiying Cai p****i@m****x 4
Peiying Cai p****i@v****h 2
J Wokaty j****y 2
Peiying Cai p****i@v****h 1
Peiying Cai p****i@v****h 1
SimoneTiberi s****i@u****h 1

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 2
  • Total pull requests: 7
  • Average time to close issues: 17 minutes
  • Average time to close pull requests: less than a minute
  • Total issue authors: 2
  • Total pull request authors: 1
  • Average comments per issue: 1.5
  • Average comments per pull request: 0.0
  • Merged pull requests: 7
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 2
  • Pull requests: 4
  • Average time to close issues: 17 minutes
  • Average time to close pull requests: less than a minute
  • Issue authors: 2
  • Pull request authors: 1
  • Average comments per issue: 1.5
  • Average comments per pull request: 0.0
  • Merged pull requests: 4
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • lmweber (1)
  • Antidington (1)
Pull Request Authors
  • peicai (7)
Top Labels
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Packages

  • Total packages: 1
  • Total downloads:
    • bioconductor 5,469 total
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 6
  • Total maintainers: 1
bioconductor.org: DESpace

DESpace: a framework to discover spatially variable genes and differential spatial patterns across conditions

  • Versions: 6
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 5,469 Total
Rankings
Dependent repos count: 0.0%
Dependent packages count: 0.0%
Average: 32.7%
Downloads: 98.2%
Maintainers (1)
Last synced: 10 months ago

Dependencies

DESCRIPTION cran
  • R >= 4.3.0 depends
  • BiocGenerics * imports
  • BiocParallel * imports
  • Matrix * imports
  • S4Vectors * imports
  • SpatialExperiment * imports
  • SummarizedExperiment * imports
  • assertthat * imports
  • cowplot * imports
  • data.table * imports
  • dplyr * imports
  • edgeR * imports
  • ggforce * imports
  • ggnewscale * imports
  • ggplot2 * imports
  • ggpubr * imports
  • limma * imports
  • methods * imports
  • patchwork * imports
  • scales * imports
  • stats * imports
  • BiocStyle * suggests
  • ExperimentHub * suggests
  • concaveman * suggests
  • knitr * suggests
  • purrr * suggests
  • rmarkdown * suggests
  • scuttle * suggests
  • spatialLIBD * suggests
  • testthat * suggests
  • utils * suggests