Author

Jonathan Z. Pan

University of California, San FranciscoORCID 0000-0001-5814-3707Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Organism:human· 2 Approach:machine learning (classical)· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Adam R. FergusoniD· 3 shared Jacqueline C. BresnahaniD· 3 shared John Russell HuieiD· 3 shared Michael S. BeattieiD· 3 shared Nikos KyritsisiD· 3 shared Abel Torres EspiniD· 2 shared Austin ChouiD· 2 shared Lisa U. PascualiD· 2 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersNeuroscience

Adam R. FergusonORCID

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3 papers

Recent·Most cited

BioinformaticsPLoS ONEPeer-reviewedApr 7, 2022

Expert-integrated automated machine learning uncovers hemodynamic predictors in spinal cord injury

Austin Chou, Abel Torres Espin, Nikos Kyritsis…·the TRACK-SCI Investigators

This paper develops an AutoML framework with explainable AI tools to identify hemodynamic predictors of spinal cord injury outcomes.

24 citations

humanmachine learning (classical)

𝕏 PostBluesky

NeuroscienceScientific ReportsPeer-reviewedFeb 9, 2021

Machine intelligence identifies soluble TNFa as a therapeutic target for spinal cord injury

John Russell Huie, Adam R. Ferguson, Nikos Kyritsis…·Michael S. Beattie

The paper identifies soluble TNF receptor 1 (sTNFR1) as a therapeutic target for spinal cord injury using multi-dimensional analysis of preclinical data.

13 citations

ratbulk RNA-seq

𝕏 PostBluesky

NeuroscienceThe Journal of Experimental MedicinePeer-reviewedDec 23, 2020

Blood RNA Profiles are Diagnostic for Severity in Human Acute Spinal Cord Injury

Nikos Kyritsis, Abel Torres Espin, Patrick G. Schupp…·Michael S. Beattie

The paper identifies 197 genes in peripheral blood cells whose expression correlates with acute spinal cord injury severity, achieving 72.7% accuracy in predicting injury grades.

78 citationstop 4%

humanbulk RNA-seq

𝕏 PostBluesky