Evidence map›Paper›PMID 37928248›Full record

ArticleFrontiers in genetics2023

PLEX.I: a tool to discover features in multiplex networks that reflect clinical variation.

Behnam Yousefi, Farzaneh Firoozbakht, Federico Melograna, Benno Schwikowski, Kristel Van Steen

Abstract read
In one paragraph

Article in Frontiers in genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Behnam YousefiComputational Systems Biomedicine Lab, Institut Pasteur, Université Paris Cité, Paris, France.
Farzaneh FiroozbakhtInstitute for Computational Systems Biology, University of Hamburg, Hamburg, Germany.
Federico MelogranaBIO3-Laboratory for Systems Medicine, KU Leuven, Leuven, Belgium.
Benno SchwikowskiComputational Systems Biomedicine Lab, Institut Pasteur, Université Paris Cité, Paris, France.
Kristel Van SteenBIO3-Laboratory for Systems Medicine, KU Leuven, Leuven, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular profiling technologies, such as RNA sequencing, offer new opportunities to better discover and understand the molecular networks involved in complex biological processes. Clinically important variations of diseases, or responses to treatment, are often reflected, or even caused, by the dysregulation of molecular interaction networks specific to particular network regions. In this work, we propose the

Indexed as

biological interaction networksfunctional genomicsgene regulationmachine learningsoftware

Identifiers

PMID37928248
PMCPMC10620964

What Socratic holds

Textmetadata
LicenceCC BY
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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.