Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
September 25, 2025Nucleic Acids ResearchOpen Access

SPACE: Spatially variable gene clustering adjusting for cell type effect for improved spatial domain detection

View Full Paper
Ask AI
Bookmark
Share

Authors

SASikta Das AdhikariNSNina G. SteeleBTBrian Theisen

Discussion

Loading...

Member takes

Overview

The SPACE framework classifies spatially variable genes while adjusting for shared cell-type effects, enhancing accuracy in detecting spatial domains.

Key Points

  • SPACE enhances spatial domain detection by classifying spatially variable genes, adjusting for cell-type effects.
  • It successfully breaks down SVGs into relevant clusters without requiring prior knowledge of gene patterns or cluster numbers.
  • The framework uses low-dimensional embedding to minimize signal mixing, improving the clarity of biological structures.
  • Simulation and real data analyses illustrate SPACE’s efficiency, suggesting a promising tool for spatial transcriptomics.

Cite This Study

Adhikari et al. (2025) studied this question.

synapsesocial.com/papers/68d5bd64dc445aa9033b02c4https://doi.org/10.1093/nar/gkaf936
View Full Paper
Ask AI
Bookmark
Share