A comparative analysis of gene expression profiling by statistical and machine learning approaches

Authors

Jean‐Michel Arbona (ORCID: https://orcid.org/0000-0001-6166-9056)
Anaïs Haget
Pierre Borgnat (ORCID: https://orcid.org/0000-0003-4536-8354)
Benjamin Audit (ORCID: https://orcid.org/0000-0003-2683-9990)
Myriam Bontonou (ORCID: https://orcid.org/0000-0002-0010-5457)
Maria Boulougouri (ORCID: https://orcid.org/0000-0001-5969-3292)

Institutions

Université Claude Bernard Lyon 1 (FR)
École Normale Supérieure de Lyon (FR)
Centre National de la Recherche Scientifique (FR)
Inserm (FR)
Laboratoire de Physique de l'ENS de Lyon (FR)
Laboratoire de Physique de l'Ecole Normale Supérieure (FR)
École Polytechnique Fédérale de Lausanne (CH)

Publication Details

Journal: Bioinformatics Advances
Published: 2024-12-18
DOI: https://doi.org/10.1093/bioadv/vbae199
Citations: 3
Primary Topic: Gene expression and cancer classification
Type: article
Field-Weighted Citation Impact: 0.70

Funders

Agence Nationale de la Recherche
École Normale Supérieure de Lyon
CHIST-ERA

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article

A comparative analysis of gene expression profiling by statistical and machine learning approaches

Jean‐Michel Arbona, Anaïs Haget, Pierre Borgnat, Benjamin Audit et al.

Dec 18, 2024

3 citations

Bioinformatics Advances

Gene expression and cancer classification

0.70

article

A comparative analysis of gene expression profiling by statistical and machine learning approaches

Jean‐Michel Arbona, Anaïs Haget, Pierre Borgnat, Benjamin Audit, Myriam Bontonou, Maria Boulougouri

December 18, 2024article en

3 citations

Abstract

No abstract available for this paper.

Bioinformatics AdvancesVol. 5(1)

Université Claude Bernard Lyon 1 (FR), École Normale Supérieure de Lyon (FR), Centre National de la Recherche Scientifique (FR), Inserm (FR), Laboratoire de Physique de l'ENS de Lyon (FR), Laboratoire de Physique de l'Ecole Normale Supérieure (FR), École Polytechnique Fédérale de Lausanne (CH)

Agence Nationale de la Recherche, École Normale Supérieure de Lyon, CHIST-ERA

Openalex Percentile: Top 28%

Gene expression and cancer classification

0.70

DOI Open Access PDF OpenAlex

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