Author

Stephen Baek

University of VirginiaORCID 0000-0002-4758-4539Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Ethan RookeiD· 1 shared Jérôme ChartoniD· 1 shared Meredith Nastruz· 1 shared Mike HawrylycziD· 1 shared Milosch Pavic· 1 shared Rachel J. SharkeyiD· 1 shared Simon Bodo EickhoffiD· 1 shared Ted G. AbeliD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Ethan RookeORCID

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1 paper

Recent·Most cited

The transcriptomic architecture of the human cerebral cortex

Thomas Nickl‐Jockschat, Stephen Baek, Zeru J. Peterson, Jérôme Charton, Milosch Pavic, Meredith Nastruz, Ethan Rooke, Rachel J. Sharkey, Simon Bodo Eickhoff, Mike Hawrylycz, Ted G. Abel

This study uses machine learning to define the transcriptomic architecture of the human cerebral cortex, revealing a multi-resolution organization and identifying core regions linked to higher cognitive functions.

bioRxiv · Jun 20, 2024 · PreprintNeuroscience