Author

Hanwen Bi

Forschungszentrum JülichORCID 0000-0002-0327-5523Unclaimed 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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Organism:human· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Felix HoffstaedteriD· 2 shared Masoud TahmasianiD· 2 shared Simon Bodo EickhoffiD· 2 shared Alexander E. DrzezgaiD· 1 shared B.T. Thomas YeoiD· 1 shared Eliana Nicolaisen‐SobeskyiD· 1 shared Federico RaimondoiD· 1 shared Jan KasperiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersNeuroscience

Felix HoffstaedterORCID

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2 papers

Recent·Most cited

NeuroscienceScientific ReportsPeer-reviewedJan 10, 2026

Lower motor performance is linked with poor sleep quality, depressive symptoms, and grey matter volume alterations

Vincent Küppers, Hanwen Bi, Eliana Nicolaisen‐Sobesky…·Masoud Tahmasian

This study links lower motor performance with poor sleep quality, depressive symptoms, and grey matter volume changes across different age groups.

8 citationstop 1%

humanstatistical model

𝕏 PostBluesky

NeuroscienceBrain CommunicationsPeer-reviewedJan 1, 2026

Can we predict sleep health based on brain features? A large-scale machine learning study using UK Biobank

Federico Raimondo, Hanwen Bi, Vera Komeyer…·Kaustubh R. Patil

This study uses machine learning on UK Biobank data to predict sleep health traits from brain imaging, finding limited predictive power despite extensive model optimization.

2 citations

humanbulk RNA-seq

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