Author

Guangbin Wang

Shandong Provincial HospitalORCID 0000-0002-7202-7750Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Guangbin Wang2 papers · Shandong Provincial Hospital

Biology Disciplines

Click to filter author papers

Neuroscience· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Christopher W. Davies‐JenkinsiD· 1 shared Georg OeltzschneriD· 1 shared Helge J. ZöllneriD· 1 shared Richard A.E. EddeniD· 1 shared Saipavitra Murali‐ManohariD· 1 shared Steve C. N. HuiiD· 1 shared Tao GongiD· 1 shared Weibo CheniD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperNeuroscience

Christopher W. Davies‐JenkinsORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Cohort-mean measured macromolecules lead to more robust linear-combination modeling than subject-specific or parameterized ones

Helge J. Zöllner, Christopher W. Davies‐Jenkins, Saipavitra Murali‐Manohar, Tao Gong, Steve C. N. Hui, Yulu Song, Weibo Chen, Guangbin Wang, Richard A.E. Edden, Georg Oeltzschner

This study compares metabolite estimation using different macromolecular modeling strategies and finds that cohort-mean measured MM basis functions yield more robust results than subject-specific or parameterized ones.

bioRxiv · Jul 7, 2022 · PreprintNeuroscience