Article

Interpretable and scalable spatial gene set activity analysis with GESSO uncovers functional tissue architecture

2026-07-08

Abstract excerpt

Recent advances in spatially resolved transcriptomics (SRT) enabled measurement of sets of pathway genes activity within tissues. However, existing gene set activity scoring methods overlook spatial dependencies among tissue locations, restricting their ability to capture region-specific pathway activities associated with disease pathology or cellular communication. Moreover, these methods lack significance-level...

Topics

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

Identifiers and source

Literature Corpus work: 2411089d-bbaa-57d8-a3e2-d30ecc26ee2e
DOI: 10.64898/2026.07.02.736099

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Interpretable and scalable spatial gene set activity analysis with GESSO uncovers functional tissue architectureDOI 10.64898/2026.07.02.736099Read

Precise Characterization of Cellular States and Spatial Variable Patterns within Spatial TranscriptomicsSemantic proximity Read

Spartan: activation-aware framework for spatial domain and variable gene discoverySemantic proximity Read

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

An automated platform for spatial functional modeling and fingerprint analysis of tissue molecular landscapesSemantic proximity Read

geneSCOPE: gene Spatial Co-Occurrence of Pairwise ExpressionSemantic proximity Read

Spatial omics representation and functional tissue module inference using graph Fourier transformSemantic proximity Read

Charting spatial ligand-target activity using RenoirSemantic proximity Read

SpatialQuery: scalable discovery and molecular characterization of multicellular motifs from spatial omics dataSemantic proximity Read

Generalisable tissue-wide molecular reconstruction from histologySemantic proximity Read

SpaPheno: Linking Spatial Transcriptomics to Clinical Phenotypes with Interpretable Machine LearningSemantic proximity Read

Charting spatial ligand-target activity using RenoirSemantic proximity Read

SpaPheno: linking spatial transcriptomics to clinical phenotypes with interpretable machine learning.Semantic proximity Read