Author

Michael D. Bereket

Stanford University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genetics· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:GWAS / association mapping· 2 Organism:human· 2 Approach:benchmark study· 1 Approach:deep learning· 1 Assay:spatial transcriptomics· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Francesco Paolo CasaleiD· 2 shared Almut Voigts· 1 shared Christoph KleiniD· 1 shared Colm T. O’DushlaineiD· 1 shared Daphne KolleriD· 1 shared Eleftheria ZegginiiD· 1 shared Hari SomineniiD· 1 shared Jure LeskoveciD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersGenetics

Francesco Paolo CasaleORCID

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3 papers

Recent·Most cited

Are Current AI Virtual Cell Models Useful for Scientific Discovery?

Michael D. Bereket, Jure Leskovec

This paper argues for new benchmarks to evaluate AI models' utility in scientific discovery and introduces PerturbHD as an evaluation framework for AI-enabled hit discovery.

bioRxiv · Apr 25, 2026 · PreprintBioinformatics

HistoGWAS: An AI-enabled Framework for Automated Genetic Analysis of Tissue Phenotypes in Histology Cohorts

Shubham Chaudhary, Almut Voigts, Michael D. Bereket, Matthew L. Albert, Kristina Schwamborn, Eleftheria Zeggini, Francesco Paolo Casale

HistoGWAS performs genome-wide association studies on histological traits using AI tools and variance component models, identifying four genome-wide significant loci in GTEx data.

bioRxiv · Jun 9, 2024 · PreprintGenetics

An allelic series rare variant association test for candidate gene discovery

Zachary Ryan McCaw, Colm T. O’Dushlaine, Hari Somineni, Michael D. Bereket, Christoph Klein, Theofanis Karaletsos, Francesco Paolo Casale, Daphne Koller, Thomas W. Soare

The paper introduces COAST, a rare variant association test for allelic series, which improves power over SKAT-O in detecting gene-trait associations in lipid and cell count traits using UK Biobank data.

The American Journal of Human Genetics · Jul 25, 2023Peer-reviewedGenetics