Author

Stanley Durrleman

Centre National de la Recherche ScientifiqueORCID 0000-0002-9450-6920Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1 Research Focus:spatial domain detection· 1 Assay:spatial transcriptomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Alexandre de MendonçaiD· 1 shared Alexandre RoutieriD· 1 shared Anne BertrandiD· 1 shared Arnaud Marcoux· 1 shared Barbara BorroniiD· 1 shared Caroline GraffiD· 1 shared Claire CuryiD· 1 shared Daniela GalimbertiiD· 1 shared

Activity by Year

2018-2018 · peak 2/yr

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10 top collaborators · 24 mutual co-author links

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1 shared paperNeuroscience

Alexandre de MendonçaORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintAug 6, 2018

Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: applied to GENFI study

Claire Cury, Stanley Durrleman, David M. Cash…·on behalf of the Genetic FTD Initiative, GENFI

The paper detects pre-symptomatic shape changes in the thalamus using spatiotemporal analysis of MRI scans from the GENFI study, finding differences five years before symptoms appear.

1 citation

humanbulk RNA-seq

NeurosciencebioRxivApr 6, 2018

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

Jorge Samper‐Gonzàlez, Ninon Burgos, Simona Bottani…·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.

169 citationstop 1%

humanbulk RNA-seq