Author

Edward S. Brodkin

University of PennsylvaniaORCID 0000-0003-1417-7838Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2 Genetics· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Holly C. DowiD· 2 shared Ted G. AbeliD· 2 shared Allan I PackiD· 1 shared Arpita Ghorai· 1 shared Beth Ann MalowiD· 1 shared Birkan TunçiD· 1 shared Brendan T KeenaniD· 1 shared Brielle N. GehringeriD· 1 shared

Activity by Year

2018-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersNeuroscience

Holly C. DowORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

NeurosciencebioRxivPreprintMay 2, 2024

Sleep and Activity Patterns in Autism Spectrum Disorder

J. Dylan Weissenkampen, Arpita Ghorai, Maria Fasolino…·Maja Bućan

The paper identifies sleep and activity patterns associated with autism spectrum disorder using wearable data and machine learning.

DOI 10.1101/2024.05.02.592263

humanmachine learning (classical)

𝕏 PostBluesky

NeuroscienceNeurobiology of Learning and MemoryPeer-reviewedDec 16, 2020

Age- and Sex-Specific Fear Conditioning Deficits in Mice Lacking Pcdh10, an Autism Associated Gene

Sarah L. Ferri, Holly C. Dow, Hannah Schoch…·Ted G. Abel

This study investigates fear conditioning deficits in Pcdh10+/- mice, finding male-specific impairments across ages and female-specific deficits in adults.

51 citationstop 3%

mouseexperimental assay

𝕏 PostBluesky

GeneticsbioRxivPreprintOct 22, 2018

Calculating the Effects of Autism Risk Gene Variants on Dysfunction of Biological Processes Identifies Clinically-Useful Information

Olivia J. Veatch, Diego R. Mazzotti, James S. Sutcliffe…·Allan I Pack

The paper identifies clinically relevant genetic dysfunction in ASD risk genes by analyzing whole-exome data from 2,381 individuals, finding associations between specific variants and cognitive symptoms.

DOI 10.1101/449819

humanwhole-exome sequencing

𝕏 PostBluesky