Evidence map›Paper›PMID 42292667›Full record

ArticleFrontiers in bioinformatics2026

BIOGEN: evidence-grounded multi-agent reasoning framework for transcriptomic interpretation in antimicrobial resistance.

Elias Hossain, Mehrdad Shoeibi, Ivan Garibay, Niloofar Yousefi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in bioinformatics, 2026. 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. 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

4 authors.

Elias HossainDepartment of Industrial Engineering and Management Systems, University of Central Florida, Orlando, FL, United States.
Mehrdad ShoeibiDepartment of Industrial Engineering and Management Systems, University of Central Florida, Orlando, FL, United States.
Ivan GaribayDepartment of Industrial Engineering and Management Systems, University of Central Florida, Orlando, FL, United States.
Niloofar YousefiDepartment of Industrial Engineering and Management Systems, University of Central Florida, Orlando, FL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Interpreting gene clusters derived from RNA sequencing (RNA-seq) remains difficult in functional genomics, particularly in antimicrobial resistance studies where mechanistic context is needed for downstream hypothesis generation. Methods: We present BIOGEN, an evidence-grounded multi-agent framework for Results: On the primary Discussion: These results indicate that retrieval access alone is insufficient to ensure reliable biological interpretation. Evidence-grounded orchestration is essential for transparent, source-traceable transcriptomic reasoning under distribution shift.

Indexed as

antimicrobial resistancebiological reasoninglarge language modelsmulti-agent frameworkSalmonella entericatranscriptomic interpretation

Identifiers

PMID42292667
PMCPMC13260171

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.