Evidence map›Paper›PMID 35734430›Full record

ArticleFrontiers in genetics2022

A Sparse Mixture-of-Experts Model With Screening of Genetic Associations to Guide Disease Subtyping.

Marie Courbariaux, Kylliann De Santiago, Cyril Dalmasso, Fabrice Danjou, Samir Bekadar, Jean-Christophe Corvol, Maria Martinez, Marie Szafranski, Christophe Ambroise

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 7 institutions in 1 country.

Marie CourbariauxUniversité Paris-Saclay, CNRS, Université d'Évry, Laboratoire de Mathématiques et Modélisation d'Évry, Évry-Courcouronnes, France.
Kylliann De SantiagoUniversité Paris-Saclay, CNRS, Université d'Évry, Laboratoire de Mathématiques et Modélisation d'Évry, Évry-Courcouronnes, France.
Cyril DalmassoUniversité Paris-Saclay, CNRS, Université d'Évry, Laboratoire de Mathématiques et Modélisation d'Évry, Évry-Courcouronnes, France.
Fabrice DanjouSorbonne Université, Paris Brain Institute-ICM, Inserm, CNRS, Assistance Publique Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Department of Neurology, Paris, France.
Samir BekadarSorbonne Université, Paris Brain Institute-ICM, Inserm, CNRS, Assistance Publique Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Department of Neurology, Paris, France.
Jean-Christophe CorvolSorbonne Université, Paris Brain Institute-ICM, Inserm, CNRS, Assistance Publique Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Department of Neurology, Paris, France.
Maria MartinezInstitut de Recherche en Santé Digestive, Inserm, CHU Purpan, Toulouse, France.
Marie SzafranskiENSIIE, Évry-Courcouronnes, France.
Christophe AmbroiseUniversité Paris-Saclay, CNRS, Université d'Évry, Laboratoire de Mathématiques et Modélisation d'Évry, Évry-Courcouronnes, France.
Institut du Cerveau · FRLaboratoire de Mathématiques Blaise Pascal · FRCentre National de la Recherche Scientifique · FRDigestive Health Research Institute · FRSorbonne Université · FRUniversité d'Évry Val-d'Essonne · FRUniversité Paris-Saclay · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

clinical datadisease subtypinggenotypinghigh dimensionlongitudinal datamixture of experts modelParkinson’s diseasevariable selection

Identifiers

PMID35734430
PMCPMC9207464
OpenAlexW4281660037

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.