ArticleCommunications biology2026
Deciphering microenvironmental heterogeneity by scalable Niche Guided Module Discovery.
Article in Communications biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Deciphering microenvironmental heterogeneity by scalable Niche Guided Module Discovery.Communications biology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Spatial transcriptomics provides high-dimensional gene expression data while preserving spatial context, offering novel insights into tissue composition and heterogeneity. Each spot or cell in the spatial transcriptome could be reflected as gene modules influenced by its surrounding microenvironment, with module interactions vital for tissue architecture and function. Here, we present Scalable Niche Guided Module Discovery (SIGMOD), a method that integrates prior constructed microenvironment information with gene expression decompositions to uncover gene modules, enabling a deeper understanding of crosstalk within the microenvironment. SIGMOD identifies cell-type-specific and cell-state-specific, clinically relevant gene modules, uncovering gene module-module interactions in 10X ST, Visium, Xenium, and CosMX data, demonstrating its effectiveness and broad applicability.
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What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.