Leveraging Spot-Gene Heterogeneous Graphs for Unified Spatially Resolved Transcriptomics Domain Detection on Single-Slice and Multi-Slice Data.

Lina Xia, Zhenyue Ding, Xun Zhang, Kun Qian, Hongwei Li

Abstract read

In one paragraph

Article in Genes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Lina XiaSchool of Mathematics and Physics, China University of Geosciences, Wuhan 430074, China.

Zhenyue DingSchool of Mathematics and Physics, China University of Geosciences, Wuhan 430074, China.

Xun ZhangSchool of Mathematics and Physics, China University of Geosciences, Wuhan 430074, China.

Kun QianSchool of Mathematical Sciences and Center for Statistical Science, Peking University, Beijing 100871, China.ORCID 0000-0002-2354-2238

Hongwei LiSchool of Mathematics and Physics, China University of Geosciences, Wuhan 430074, China.ORCID 0000-0001-6809-7097

Funding

National Natural Science Foundation of China 42374174

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Gene Expression ProfilingTranscriptomeAlgorithmsHumansSpatial Transcriptomicscontrastive learningdomain detectionsingle-slice and multi-slicespatially resolved transcriptomicsspot–gene heterogeneous graph

Identifiers

PMID41898844

DOI10.3390/genes17030310

PMCPMC13025579

What OpenQuestion holds

Textmetadata

LicenceCC BY

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Registered trials

None linked

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 OpenQuestion graph.