Evidence map›Paper›PMID 41226380›Full record

ArticleInternational journal of molecular sciences2025

Machine Learning-Driven Prediction of Spatiotemporal Dynamics of Active Nuclei During

Parisa Boodaghi Malidarreh, Priyanshi Borad, Biraaj Rout, Anna Makridou, Shiva Abbasi, Mohammad Sadegh Nasr, Jillur Rahman Saurav, Kelli D Fenelon, Jai Prakash Veerla, Jacob M Luber and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 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. Resolving Sub-Nuclear Architecture from Compartments to Functional Domains.International journal of molecular sciences · 2026
    Review
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

11 authors.

Parisa Boodaghi MalidarrehDepartment of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX 76019, USA.
Priyanshi BoradDepartment of Biology, University of Texas at Arlington, Arlington, TX 76019, USA.ORCID 0000-0001-8446-5312
Biraaj RoutDepartment of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX 76019, USA.
Anna MakridouSchool of Biology, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.ORCID 0009-0003-0856-4871
Shiva AbbasiDepartment of Biology, University of Texas at Arlington, Arlington, TX 76019, USA.
Mohammad Sadegh NasrDepartment of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX 76019, USA.ORCID 0000-0001-9675-5640
Jillur Rahman SauravDepartment of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX 76019, USA.ORCID 0000-0001-7451-9962
Kelli D FenelonDepartment of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.ORCID 0000-0002-1294-9200
Jai Prakash VeerlaDepartment of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX 76019, USA.
Jacob M LuberDepartment of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX 76019, USA.
Theodora KoromilaDepartment of Biology, University of Texas at Arlington, Arlington, TX 76019, USA.ORCID 0000-0001-5504-1369

Funding

Cancer Prevention and Research Institute of Texas (CPRIT) Recruitment of First-Time, Tenure-Track Faculty Members Grant RR220015University of Texas System Rising STARs award RR220015
6 · The paper itself

Abstract

In this study, we apply machine learning to model the spatiotemporal dynamics of gene expression during early

Indexed as

Cell NucleusDrosophilaDrosophila melanogasterEmbryonic DevelopmentMachine LearningAnimalsDrosophila ProteinsGene Expression Regulation, DevelopmentalTranscription FactorsDrosophila ProteinsTranscription FactorsDrosophila embryoMS2.MCP live imaging systemregressionRipley’s K-functionsogSu(H)XGBoost

Identifiers

PMID41226380
PMCPMC12610212

What OpenQuestion holds

Textmetadata
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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.