Author

Jacob S. Berkowitz

Cedars-Sinai Medical CenterORCID 0009-0009-8460-7240Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:GWAS summary statistics· 1 Approach:large language model· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Nicholas P. TatonettiiD· 2 shared Aditi KuchiiD· 1 shared Catalina BetancuriD· 1 shared Chiara AuwerxiD· 1 shared Dinan H. ElsyadiD· 1 shared F. Kyle SatterstromiD· 1 shared Hongyu LiuiD· 1 shared Jack M. FuiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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Focal author (center)Selected co-authorORCID co-authorUnlinked name

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2 shared papersGenetic & Genomic Medicine

Nicholas P. TatonettiORCID

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2 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintOct 19, 2026

Large language model classifies prior evidence in gene-phenotype associations

Jérémy Guez, Chiara Auwerx, Wenhan Lu…·Konrad J. Karczewski

PESTO classifies gene-phenotype associations as Novel, Hypothesized, Existing, or Established using a large language model and structured genetic evidence, identifying 7% as Novel and 21% as Hypothesized in 940 associations.

DOI 10.64898/2026.10.17.26365766

humanGWAS summary statistics

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BioinformaticsbioRxivPreprintJun 17, 2025

Cell-Type Specific Single-Cell Signatures Reveal Nephrotoxic Drug Effects

Aditi Kuchi, Jose Miguel Acitores Cortina, Hongyu Liu…·Nicholas P. Tatonetti

The paper identifies cell-type specific single-cell signatures that reveal nephrotoxic drug effects and improves prediction of drug-induced kidney injury compared to bulk RNA sequencing.

DOI 10.1101/2025.06.17.660070

humanscRNA-seq

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