Evidence map›Paper›PMID 42244857›Full record

ArticleNAR genomics and bioinformatics2026

TSProm: deep learning framework to predict tissue-specific regulatory logic.

Pallavi Surana, Pratik Dutta, Nimisha Papineni, Rekha Sathian, Zhihan Zhou, Han Liu, Ramana V Davuluri

Abstract read
In one paragraph

Article in NAR genomics and bioinformatics, 2026. 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

7 authors.

Pallavi SuranaDepartment of Biomedical Informatics, Stony Brook University, NY 11794, United States.ORCID https://orcid.org/0009-0004-4241-9181
Pratik DuttaDepartment of Biomedical Informatics, Stony Brook University, NY 11794, United States.
Nimisha PapineniDepartment of Biomedical Informatics, Stony Brook University, NY 11794, United States.
Rekha SathianDepartment of Biomedical Informatics, Stony Brook University, NY 11794, United States.
Zhihan ZhouDepartment of Computer Science, Northwestern University, IL 60208, United States.
Han LiuDepartment of Computer Science, Northwestern University, IL 60208, United States.
Ramana V DavuluriDepartment of Biomedical Informatics, Stony Brook University, NY 11794, United States.ORCID https://orcid.org/0000-0002-7053-1064

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Characterizing tissue-specific (TSp) gene expression is crucial for understanding development and disease; however, traditional expression-based methods often overlook the latent "regulatory grammar" embedded in non-coding DNA, particularly across distal promoter regions. Here, we introduce

Indexed as

Deep LearningGene Expression RegulationPromoter Regions, GeneticBrainHumansLiverOrgan SpecificityTestisTranscription FactorsTranscription Factors

Identifiers

PMID42244857
PMCPMC13233143

What OpenQuestion holds

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Registered trials

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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.