Evidence map›Paper›PMID 41409150›Full record

ArticlebioRxiv : the preprint server for biology2025

Resolving phenotyping discordance with SPACEMAP, an integrated machine learning framework.

Bassel Dawod, Arely Perez Rodriguez, Sebastian Diegeler, Eslam Elghonaimy, Megan Wachsman, Purva Gopal, David Hein, Paul H Acosta, Andrew Jamieson, Gaudenz Danuser and 3 more

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

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

13 authors.

Bassel DawodDepartment of Radiation Oncology, the University of Southwestern Medical Center, Dallas, TX, USA.ORCID 0000-0002-1055-4387
Arely Perez RodriguezDepartment of Radiation Oncology, the University of Southwestern Medical Center, Dallas, TX, USA.
Sebastian DiegelerDepartment of Radiation Oncology, the University of Southwestern Medical Center, Dallas, TX, USA.ORCID 0000-0003-3161-0744
Eslam ElghonaimyDepartment of Radiation Oncology, the University of Southwestern Medical Center, Dallas, TX, USA.ORCID 0009-0006-6017-3431
Megan WachsmanDepartment of Pathology, the University of Texas Southwestern Medical Center, Dallas, TX, USA.
Purva GopalDepartment of Pathology, the University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID 0000-0001-7125-695X
David HeinLyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID 0000-0002-8625-9528
Paul H AcostaLyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID 0000-0001-9911-3539
Andrew JamiesonLyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Gaudenz DanuserLyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID 0000-0001-8583-2014
Robert D TimmermanDepartment of Radiation Oncology, the University of Southwestern Medical Center, Dallas, TX, USA.ORCID 0000-0003-2462-1007
Satwik RajaramLyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID 0000-0001-8242-4402
Todd A AguileraDepartment of Radiation Oncology, the University of Southwestern Medical Center, Dallas, TX, USA.ORCID 0000-0002-3734-3758

Funding

Early response to radiotherapy and immunotherapy in rectal cancer: an integrated molecular, cellular, and spatial approachR01CA283953 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI Todd A Aguilera · 2023 to 2026
$2.6M
NCI NIH HHS R01 CA283953
6 · The paper itself

Abstract

Multiplex imaging technologies have revolutionized our ability to study cellular behavior within the tissue microenvironment. Translating this complex data into meaningful biological insights requires a unified analytical framework. To address this, we developed SPACEMAP (

Identifiers

PMID41409150
PMCPMC12707289

What Socratic holds

Textmetadata
LicenceCC BY-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 Socratic graph.