Author

Adrian Camarena

University of Southern CaliforniaORCID 0000-0001-8512-0607Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1 Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:differential expression· 2 Organism:human· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

James A. KnowlesiD· 2 shared Kai WangiD· 2 shared Tade SouaiaiaiD· 2 shared Abdel AbdellaouiiD· 1 shared Andre Wilberg· 1 shared Angel Carracedo· 1 shared Beatriz Camarena· 1 shared Behrang MahjaniiD· 1 shared

Activity by Year

2016-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersGenetics

James A. KnowlesORCID

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3 papers

Recent·Most cited

Genetic & Genomic MedicineResearch at the University of Copenhagen (University of Copenhagen)Peer-reviewedJan 1, 2025

Genome-wide analyses identify 30 loci associated with obsessive-compulsive disorder

Nora I Strom, Zachary F Gerring, Marco Galimberti…·Bjarne K. A. Hansen

This study identifies 30 genome-wide significant loci for obsessive-compulsive disorder (OCD) using a large GWAS, linking risk to specific brain cell types and shared genetic risk with other psychiatric and non-psychiatric traits.

9 citations

humanGWAS summary statistics

𝕏 PostBluesky

GeneticsBiological PsychiatryPeer-reviewedJan 21, 2020

Gene expression in patient-derived neural progenitors implicates WNT5A signaling in the etiology of schizophrenia

Oleg Vadimovich Evgrafov, Chris Armoskus, Bozena Wrobel…·James A. Knowles

The paper identifies differentially expressed genes in schizophrenia-associated neural progenitor cells, implicating WNT5A signaling in schizophrenia etiology.

35 citations

humanbulk RNA-seq

𝕏 PostBluesky

GenomicsbioRxivPreprintMar 24, 2016

Assessing the measurement transfer function of single-cell RNA sequencing

Hannah R. Dueck, Rizi Ai, Adrian Camarena…·Junhyoung Kim

This study evaluates the performance of three scRNA-seq methods through controlled experiments, finding they reliably detect genes above 5-10 molecules with linear measurement transfer functions.

DOI 10.1101/045450

scRNA-seqstatistical model

𝕏 PostBluesky