Author

Alexander Knaack

University of California, DavisORCID 0000-0002-5231-3637Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:imaging· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Adam DiaziD· 1 shared Adeyinka O Ajayi· 1 shared Adrienne Kormos· 1 shared Alzheimer’s Disease Neuroimaging Initiative· 1 shared Andrea Fidell· 1 shared Andrew J. SaykiniD· 1 shared Arthur W. TogaiD· 1 shared Arvin AraniiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperNeuroscience

Adam DiazORCID

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2 papers

Recent·Most cited

Network-based amyloid-beta pathology predicts subsequent cognitive decline in cognitively normal older adults

Hengda He, Qolamreza Ray Razlighi, Yunglin Gazes, Christian Georg Habeck, Yaakov Stern, Alzheimer’s Disease Neuroimaging Initiative, Michael Walter Weiner, Paul S. S. Aisen, Ronald Carl Petersen, Clifford R. Jack, William J. Jagust, Susan M. Landau, Mónica Rivera Mindt, Ozioma Okonkwo, Leslie M. J. Shaw, , Evan Fletcher

This study uses machine learning to show that integrating brain connectome data with amyloid-beta PET imaging improves prediction of cognitive decline in older adults.

Communications Medicine · Dec 5, 2025Peer-reviewedNeuroscience

New phenotype discovery method by unsupervised deep representation learning empowers genetic association studies of brain imaging

Khush Patel, Ziqian Xie, Hao Yuan, Sheikh Muhammad Saiful Islam, Wanheng Zhang, Assaf Gottlieb, Han Chen, Luca Giancardo, Alexander Knaack, Evan M. Fletcher, Myriam Fornage, Shuiwang Ji, Degui Zhi

This paper introduces an unsupervised deep learning method to derive brain imaging phenotypes from MRI data, identifying new genetic loci associated with these endophenotypes.

medRxiv · Dec 10, 2022 · PreprintGenetic & Genomic Medicine