Author

Joseph G. Quinn

University of California San Diego

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Neuroscience· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1

Frequent Co-Authors

Adam FleisheriD· 1 shared Andrew J. SaykiniD· 1 shared Angela OliveriD· 1 shared Anton P. PorsteinssoniD· 1 shared Arthur W. TogaiD· 1 shared Beau M. AncesiD· 1 shared Benjamin GoudeyiD· 1 shared Betty Lind· 1 shared

Activity by Year

2019-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 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

Adam FleisherORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

A blood-based signature of cerebral spinal fluid Aβ1-42 status

Benjamin Goudey, Bowen John Fung, Christine Schieber, Noel Garry Faux, Michael Walter Weiner, Paul S. S. Aisen, Ronald Carl Petersen, Clifford R. Jack, William J. Jagust, John Q. Trojanowki, Arthur W. Toga, Laurel A. Beckett, Robert C. Green, Andrew J. Saykin, John C. Morris, , Kyle B. Womack

This paper develops a blood-based machine learning model to predict cerebral spinal fluid Aβ1-42 levels, showing high accuracy in identifying Alzheimer's disease risk.

Scientific Reports · Mar 10, 2019Peer-reviewedNeuroscience