SICAI: Stromal-Immune Coupled Attractor Index for Spatial Transcriptomics

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Authors: Jengwei Tjiu
Cited by: 0

Abstract

Computational framework for quantifying stromal-immune coupling architecture from spatial transcriptomics data. SICAI integrates coupling strength (CS), coupling specificity (CSp), and attractor stability (AS) to map cell-cell interaction landscapes. Geometric Stability Decomposition (GSD) characterizes attractor basins in coupling state space. Applied to psoriasis Visium data, revealing mast cell hub architecture and severity-linked CD8+ TRM coupling. Associated manuscript: "Geometric Stability Decomposition of Stromal-Immune Coupling Reveals Mast Cell Hub Architecture and Severity-Linked CD8+ TRM Attractor in Psoriasis" (Nature Communications, 2026).

Fields of Study & Subjects

Single-cell and spatial transcriptomics Bioinformatics and Genomic Networks Psoriasis: Treatment and Pathogenesis

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
17 February 2026
Language
EN