Article

Precise Characterization of Cellular States and Spatial Variable Patterns within Spatial Transcriptomics

2025-04-09

Abstract excerpt

<title>Abstract</title> <p>Spatial transcriptomics enables the simultaneous characterization of gene expression and spatial organization, providing transformative insights into tissue architecture and function. While numerous tools have been developed to identify spatial variable genes as proxies for functional variation, none can directly detect spatial variable patterns, such as celluar states and biological pa...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: c1c106de-ff48-51f7-8206-f567e11c6fc6
DOI: 10.21203/rs.3.rs-5965581/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Precise Characterization of Cellular States and Spatial Variable Patterns within Spatial TranscriptomicsDOI 10.21203/rs.3.rs-5965581/v1Read

HEARTSVG: a fast and accurate method for spatially variable gene identification in large-scale spatial transcriptomic dataSemantic proximity Read

HEARTSVG: a fast and accurate method for spatially variable gene identification in large-scale spatial transcriptomic dataSemantic proximity Read

Spatial pattern and differential expression analysis with spatial transcriptomic dataSemantic proximity Read

A Robust Statistical Approach for Finding Informative Spatially Associated PathwaysSemantic proximity Read

Interpretable and scalable spatial gene set activity analysis with GESSO uncovers functional tissue architectureSemantic proximity Read

Dimension-agnostic and granularity-based spatially variable gene identification using BSP.Semantic proximity Read

Novae: a graph-based foundation model for spatial transcriptomics dataSemantic proximity Read

Identifying Differential Spatial Expression Patterns across Different Slices, Conditions and Developmental Stages with Interpretable Deep LearningSemantic proximity Read

HarveST: Heterogeneous Graph Learning Framework for Revealing Spatial Transcriptomics PatternsSemantic proximity Read

Uncovering directionally and temporally variable genes with STAVAGSemantic proximity Read

SpatialESD: spatial ensemble domain detection in spatial transcriptomicsSemantic proximity Read

SIMVI reveals intrinsic and spatial-induced states in spatial omics dataSemantic proximity Read