Evidence map›Paper›PMID 40909878›Full record

ArticleProceedings. International Conference on Image Processing2025

DISCO: A DIFFUSION MODEL FOR SPATIAL TRANSCRIPTOMICS DATA COMPLETION.

Ziheng Duan, Xi Li, Zhuoyang Zhang, James Song, Jing Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Proceedings. International Conference on Image Processing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Ziheng DuanUniversity of California, Irvine.
Xi LiUniversity of California, Irvine.
Zhuoyang ZhangEmory University.
James SongEmory University.
Jing ZhangUniversity of California, Irvine.

Funding

Interpretable Deep Learning Methods to Investigate Genetics and Epigenetics of Alzheimer's Disease at a Single-Cell ResolutionR01NS128523 · NINDS · UNIVERSITY OF CALIFORNIA-IRVINE · PI JING ZHANG · 2022 to 2026
$3.2M
Decoding the Noncoding Regulatory Genome with Super-resolution via Single-cell Multiomics IntegrationR01HG012572 · NHGRI · UNIVERSITY OF CALIFORNIA-IRVINE · PI JING ZHANG · 2022 to 2026
$2.0M
NHGRI NIH HHS R01 HG012572NINDS NIH HHS R01 NS128523
6 · The paper itself

Abstract

Spatial transcriptomics enables the study of gene expression within the spatial context of tissues, offering valuable insights into tissue organization and function. However, technical limitations can result in large missing regions of data, which hinder accurate downstream analyses and biological interpretation. To address these challenges, we propose

Indexed as

data completenessdiffusion modelregion completionspatial transcriptomics

Identifiers

PMID40909878
PMCPMC12407492

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.