Author

Adam Schwartz

Eli Lilly (United States)Primary ORCID profile (0000-0003-4148-5131 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Adam SchwartziD1 paper · Duke University

Biology Disciplines

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Genetics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:GWAS / association mapping· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Andrew J. SaykiniD· 2 shared Arthur W. TogaiD· 2 shared Clifford R. JackiD· 2 shared Davie Holtzman· 2 shared Franz F. HeftiiD· 2 shared Greg Sorensen· 2 shared John C. MorrisiD· 2 shared John Q. Trojanowki· 2 shared

Activity by Year

2018-2018 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersNeuroscience

Andrew J. SaykinORCID

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2 papers

Recent·Most cited

Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference

Alexandra L. Young, Razvan Valentin Marinescu, Neil P. Oxtoby, Martina Bocchetta, Keir X. X. Yong, Nicholas C. Firth, David M. Cash, David Lee Thomas, Katrina M. Dick, M. Jorge Cardoso, John Cornelis Van Swieten, Barbara Borroni, Daniela Galimberti, Mario Masellis, Maria Carmela Tartaglia, , Ronald G. Thomas

This paper introduces SuStaIn, a machine learning method that identifies disease subtypes and their temporal progression from cross-sectional data, improving prediction of diagnostic conversion in neurodegenerative diseases.

Nature Communications · Oct 9, 2018Peer-reviewedNeuroscience

Heritability of regional brain volumes in large-scale neuroimaging and genetic studies

Bingxin Zhao, Joseph G. Ibrahim, Yun Li, Tengfei Li, Yue Wang, Yue Shan, Ziliang Zhu, Fan Zhou, Jingwen Zhang, Chao Huang, Huiling Liao, Liuqing Yang, Paul M. Thompson, Hongtu Zhu B, Pediatric Imaging, Neurocognition and Genetics (PING), , John Hsiao

The paper examines the heritability of regional brain volumes using genetic and neuroimaging data from multiple cohorts, finding high heritability and consistent patterns across populations.

Cerebral Cortex · Jul 2, 2018Peer-reviewedGenetics