Author

Paul Maschhoff

Ginkgo Bioworks, Inc. (United States)ORCID 0009-0000-8578-7313Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Organism:E. coli· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Amin Espah BorujeniiD· 2 shared Christopher A. VoigtiD· 2 shared Diveena Becker· 2 shared Enoch YeungiD· 2 shared Joshua A. UrrutiaiD· 2 shared Yuval DorfaniD· 2 shared Alexander W. CristofaroiD· 1 shared Aqib HasnainiD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

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10 top collaborators · 42 mutual co-author links

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2 shared papersSystems Biology

Amin Espah BorujeniORCID

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2 papers

Recent·Most cited

Systems BiologybioRxivPreprintJun 29, 2023

Disentangling gene expression burden identifies generalizable phenotypes induced by synthetic gene networks

Aqib Hasnain, Amin Espah Borujeni, Yongjin Park…·Enoch Yeung

The paper identifies synthetic gene network-induced phenotypes by analyzing gene expression in E. coli and validates them through antibiotic resistance experiments.

DOI 10.1101/2023.06.29.547078

E. colibulk RNA-seq

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedSep 22, 2021

Prediction of Whole-Cell Transcriptional Response with Machine Learning

Mohammed Eslami, Amin Espah Borujeni, Hamed Eramian…·Enoch Yeung

The paper introduces a machine learning model to predict whole-cell transcriptional responses to combinations of perturbations using data from single inducers.

16 citations

bulk RNA-seqmachine learning (classical)

𝕏 PostBluesky