Author

Murielle Bochud

Centre universitaire de médecine générale et santé publique, LausanneORCID 0000-0002-5727-0218Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Murielle Bochud1 paper

Biology Disciplines

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Bioinformatics· 2 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Organism:human· 2 Assay:metabolomics· 2 Research Focus:batch correction / integration· 1 Research Focus:benchmarking· 1 Research Focus:GWAS / association mapping· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Eleonora PorcuiD· 2 shared Alexander L. ButtoniD· 1 shared Andrew P. MorrisiD· 1 shared Annique ClaringbouldiD· 1 shared Aurélien ThomasiD· 1 shared Béatrice DesvergneiD· 1 shared Chiara AuwerxiD· 1 shared Ciara BerginiD· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Eleonora PorcuORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Genetic & Genomic MedicineOphthalmology SciencePeer-reviewedFeb 16, 2023

GWAS of Retinal Vessel Tortuosity Identifies 173 Novel Loci Revealing Genes and Pathways Associated with Vascular Pathomechanics and Cardiometabolic Diseases

Mattia Tomasoni, Michael J. Beyeler, Sofía Ortín Vela…·Sven Bergmann

This study performs a GWAS on retinal vessel tortuosity, identifying 173 novel loci and linking them to vascular pathomechanics and cardiometabolic diseases.

50 citationstop 1%

humanimaging

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BioinformaticsHuman Genetics and Genomics AdvancesPeer-reviewedAug 1, 2022

Omics-informed CNV calls reduce false positive rate and improve power for CNV-trait associations

Maarja Lepamets, Chiara Auwerx, Margit Nõukas…·Zoltán Kutalik

The paper introduces an omics-informed quality score to improve CNV detection and association analysis by reducing false positives and increasing statistical power.

9 citations

humanwhole-genome sequencing

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BioinformaticsbioRxivPreprintJan 22, 2020

Visualization and normalization of drift effect across batches in metabolome-wide association studies

Nasim Bararpour, Federica Gilardi, Cristian Carmeli…·Aurélien Thomas

The paper introduces dbnorm, an R package to visualize and correct signal drift in metabolomics data across batches, improving the detection of true biological variation.

6 citations

metabolomicsstatistical model

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