Evidence map›Paper›PMID 41293536›Full record

ArticleArXiv2025

PHD-MS: Multiscale Domain Identification for Spatial Transcriptomics via Persistent Homology.

Perry Beamer, Zixuan Cang

Abstract readPreprint
PubMed Full text at PMC
In one paragraph

Article in ArXiv, 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

2 authors.

Perry BeamerDepartment of Mathematics, North Carolina State University, Raleigh, NC, USA.
Zixuan CangDepartment of Mathematics, North Carolina State University, Raleigh, NC, USA.

Funding

Development of tools for analyzing cell-cell communication using spatial transcriptomic dataR01GM152494 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI Zixuan Cang, Qing Nie · 2024 to 2026
$1.0M
NIGMS NIH HHS R01 GM152494
6 · The paper itself

Abstract

Spatial transcriptomics (ST) measures gene expression at a set of spatial locations in a tissue. Communities of nearby cells that express similar genes form

Indexed as

Multiscale domainsSpatial transcriptomicsTopological data analysis

Identifiers

PMID41293536
PMCPMC12642769

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.