Author

Abe Pressman

National Institute of Standards and TechnologyORCID 0000-0003-0849-620XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Biophysics· 1 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Organism:E. coli· 1 Approach:experimental assay· 1 Assay:long-read sequencing· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

David RossiD· 3 shared Peter D. TonneriD· 3 shared Drew S. TackiD· 2 shared Eugenia F. RomantsevaiD· 2 shared Nathan D. OlsoniD· 2 shared Nina Alperovich· 2 shared Olga B Vasilyeva· 2 shared Sasha F. LevyiD· 2 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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3 shared papersSynthetic Biology

David RossORCID

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3 papers

Recent·Most cited

Synthetic BiologyPLoS ONEPeer-reviewedMar 29, 2023

Precision engineering of biological function with large-scale measurements and machine learning

Drew S. Tack, Peter D. Tonner, Abe Pressman…·David Ross

The paper presents two methods for precision engineering of genetic sensors using large-scale data and machine learning to achieve quantitative dose-response specifications.

8 citations

machine learning (classical)software / tool

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BioinformaticsProceedings of the National Academy of SciencesPeer-reviewedJun 21, 2022

Interpretable modeling of genotype-phenotype landscapes with state-of-the-art predictive power

Peter D. Tonner, Abe Pressman, David Ross

LANTERN is a hierarchical Bayesian model that improves interpretability and predictive power in genotype-phenotype landscape analysis, outperforming alternatives across benchmark datasets.

42 citationstop 3%

Bayesian inferencebenchmarking

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BiophysicsMolecular Systems BiologyPeer-reviewedMar 1, 2021

✦ In-depth digest

The genotype-phenotype landscape of an allosteric protein

Drew S. Tack, Peter D. Tonner, Abe Pressman…·David Ross

Dose-response curves for 62 472 LacI coding sequences train a recurrent network for EC50 and G∞, enable EC50 targeting within 1.25-fold, and reveal band-stop sensors.

63 citations

E. colilong-read sequencing

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