Author

Evan E. Seitz

Cold Spring Harbor LaboratoryORCID 0000-0001-6844-2444Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Approach:deep learning· 2 Assay:DNA methylation· 2 Research Focus:gene regulatory network inference· 2 Research Focus:variant effect prediction· 2 Assay:ChIP-seq· 1 Research Focus:differential expression· 1 Organism:Drosophila· 1 Organism:human· 1

Frequent Co-Authors

David M. McCandlishiD· 2 shared Justin B. KinneyiD· 2 shared Peter K. KooiD· 2 shared

Activity by Year

2024-2025 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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2 shared papersGenomics

David M. McCandlishORCID

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2 papers

Recent·Most cited

GenomicsbioRxivPreprintOct 7, 2025

Uncovering the Mechanistic Landscape of Regulatory DNA with Deep Learning

Evan E. Seitz, David M. McCandlish, Justin B. Kinney, Peter K. Koo

This paper introduces SEAM, a deep learning framework that identifies functional binding sites and mutation impacts in regulatory DNA, revealing two classes of regulatory signals in human and Drosophila loci.

5 citations

humanDrosophila

𝕏 PostBluesky

GenomicsNature Machine IntelligencePeer-reviewedJun 21, 2024

Interpreting cis-regulatory mechanisms from genomic deep neural networks using surrogate models

Evan E. Seitz, David M. McCandlish, Justin B. Kinney, Peter K. Koo

This paper introduces SQUID, a framework for interpreting genomic deep neural networks using surrogate models, showing improved motif consistency and variant-effect predictions.

41 citationstop 3%

DNA methylationChIP-seq

𝕏 PostBluesky