Author

Jérémy Guillon

Centre National de la Recherche ScientifiqueORCID 0000-0002-2672-7510Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Alexandre RoutieriD· 1 shared Anne BertrandiD· 1 shared Arnaud Marcoux· 1 shared for the Alzheimer’s Disease Neuroimaging Initiative1· 1 shared Hugo Bertin· 1 shared Jorge Samper‐Gonzàlez· 1 shared Junhao WeniD· 1 shared Marie‐Odile HabertiD· 1 shared

Activity by Year

2018-2018 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Alexandre RoutierORCID

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1 paper

Recent·Most cited

Reproducible evaluation of classification methods in Alzheimer’s disease: framework and application to MRI and PET data

Jorge Samper‐Gonzàlez, Ninon Burgos, Simona Bottani, Sabrina Fontanella, Pascal Lu, Arnaud Marcoux, Alexandre Routier, Jérémy Guillon, Michael Bacci, Junhao Wen, Anne Bertrand, Hugo Bertin, Marie‐Odile Habert, Stanley Durrleman, Theodoros Evgeniou, , the Australian Imaging Biomarkers and Lifestyle flagship study of ageing2

The paper introduces a reproducible framework for evaluating AD classification methods using MRI and PET data, showing FDG PET outperforms T1 MRI and linear classifiers perform best.

bioRxiv · Apr 6, 2018Neuroscience