Evidence map›Paper›PMID 41280001›Full record

ArticlebioRxiv : the preprint server for biology2025

SpaDiff: Denoising for Sequence-based Spatial Transcriptomics via Diffusion Process.

Jiazhang Cai, Yongkai Chen, Luyang Fang, Wenxuan Zhong, Guo-Cheng Yuan, Ping Ma

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

5 · Who and what money

Authors and funding

6 authors.

Jiazhang CaiDepartment of Statistics, University of Georgia, 310 Herty Drive, Athens, 30602, GA, United States.
Yongkai ChenDepartment of Statistics, Harvard University, Science Center 400 Suite, One Oxford Street, Cambridge, 02138, MA, United States.
Luyang FangDepartment of Statistics, University of Georgia, 310 Herty Drive, Athens, 30602, GA, United States.
Wenxuan ZhongDepartment of Statistics, University of Georgia, 310 Herty Drive, Athens, 30602, GA, United States.
Guo-Cheng YuanDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, 1468 Madison Ave, New York, 10029, NY, United States.
Ping MaDepartment of Statistics, University of Georgia, 310 Herty Drive, Athens, 30602, GA, United States.

Funding

A regulome and transcriptome atlas of fetal and adult human neurogenesisRF1MH128970 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CAI, LONG, HOF, PATRICK R · 2021 to 2021
$5.5M
Towards an integrated analytics solution to creating a spatially-resolved single-cell multi-omics brain atlasRF1MH133703 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ROUSSOS, PANAGIOTIS, YUAN, GUO-CHENG · 2023 to 2023
$2.6M
Collaborative Research: DMS/NIGMS 2: Novel machine-learning framework for AFMscanner in DNA-protein interaction detectionR01GM152814 · NIGMS · UNIVERSITY OF GEORGIA · PI Wenxuan Zhong · 2023 to 2026
$1.2M
NIGMS NIH HHS R01 GM152814NIMH NIH HHS RF1 MH128970NIMH NIH HHS RF1 MH133703
6 · The paper itself

Abstract

Spatial transcriptomics enables transcriptome-scale analysis with spatial resolution but suffers from spot-swapping, where RNA molecules drift from their true locations, introducing noise and reducing spatial specificity. We introduce SpaDiff, a denoising method that treats spot-swapping as a diffusion process. SpaDiff simulates the displacement of RNA molecules and reverses it to restore their original spatial distribution while preserving molecular counts. Evaluations on simulated and real data demonstrate that SpaDiff enhances spatial specificity of gene expression, improves data integrity, and supports more accurate downstream analyses such as clustering and spatial domain identification.

Indexed as

Data DenoisingDiffusion ModelScore FunctionSequence-based Spatial Transcriptomics

Identifiers

PMID41280001
PMCPMC12632478

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.