Author

Rosemary He

University of California, Los AngelesORCID 0000-0001-8307-3958Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:dimensionality reduction· 1 Research Focus:fine-mapping· 1 Assay:GWAS summary statistics· 1 Assay:imaging· 1

Frequent Co-Authors

Alzheimer’s Disease Neuroimaging Initiative· 1 shared Daniel Jacob TwardiD· 1 shared Eleazar EskiniD· 1 shared Farhad HormozdiariiD· 1 shared Helen J. HuangiD· 1 shared Kodi TaraszkaiD· 1 shared Nathan LaPierreiD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 11 mutual co-author links

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1 shared paperNeuroscience

Alzheimer’s Disease Neuroimaging Initiative

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2 papers

Recent·Most cited

NeuroscienceNeuroinformaticsPeer-reviewedJun 14, 2023

Applying joint graph embedding to study Alzheimer's neurodegeneration patterns in volumetric data

Rosemary He, Daniel Jacob Tward, Alzheimer’s Disease Neuroimaging Initiative

This paper applies joint graph embedding to analyze volumetric MRI data and identifies AD neurodegeneration patterns with novel network structures.

1 citation

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BioinformaticsPLoS GeneticsPeer-reviewedSep 20, 2021

Identifying Causal Variants by Fine Mapping Across Multiple Studies

Nathan LaPierre, Kodi Taraszka, Helen J. Huang…·Eleazar Eskin

This paper introduces MsCAVIAR, a method for fine mapping causal variants across multiple GWAS studies, showing it reduces causal set sizes by over 20% in Type 2 Diabetes analysis.

70 citationstop 2%

humanGWAS summary statistics

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