Evidence map›Paper›PMID 42254589›Full record

ArticleBioinformatics advances2026

Identification of monotonically classifying pairs of genes for ordinal disease outcomes.

Océane Fourquet, Daria Afenteva, Kaiyang Zhang, Sampsa Hautaniemi, Martin S Krejca, Carola Doerr, Benno Schwikowski

Abstract read
In one paragraph

Article in Bioinformatics advances, 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. Article
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

7 authors.

Océane FourquetComputational Systems Biomedicine Lab, Institut Pasteur, Université Paris Cité, Paris 75015, France.ORCID https://orcid.org/0000-0002-8072-8119
Daria AfentevaResearch Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki 00014, Finland.
Kaiyang ZhangResearch Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki 00014, Finland.
Sampsa HautaniemiResearch Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki 00014, Finland.ORCID https://orcid.org/0000-0002-7749-2694
Martin S KrejcaLIX, CNRS, École Polytechnique, Institut Polytechnique de Paris, Honoré d'Estienne d'Orves, Palaiseau 91120, France.
Carola DoerrLIP6, CNRS, Sorbonne Université, Paris 75005, France.
Benno SchwikowskiComputational Systems Biomedicine Lab, Institut Pasteur, Université Paris Cité, Paris 75015, France.ORCID https://orcid.org/0000-0001-5127-5619

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Summary: We extend an existing classification method for identifying pairs of genes whose joint expression is associated with binary outcomes to ordinal multi-class outcomes, such as overall survival or disease progression. Our approach, called Availability and implementation: The code is available at https://github.com/oceanefrqt/MBMC.

Identifiers

PMID42254589
PMCPMC13238737

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.