Author

George Zheng

Texas Advanced Computing Center

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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Synthetic Biology· 3 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Organism:yeast· 3 Research Focus:benchmarking· 2 Research Focus:differential expression· 2 Approach:machine learning (classical)· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1

Frequent Co-Authors

Mark Weston· 4 shared Matthew W. VaughniD· 4 shared Niall I. GaffneyiD· 4 shared Anastasia DeckardiD· 3 shared Bree CumminsiD· 3 shared Bryan BartleyiD· 3 shared Daniel BryceiD· 3 shared Jacob BealiD· 3 shared

Activity by Year

2021-2023 · peak 2/yr

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10 top collaborators · 45 mutual co-author links

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4 shared papersSynthetic Biology

Mark Weston

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4 papers

Recent·Most cited

Robustness and reproducibility of simple and complex synthetic logic circuit designs using a DBTL loop

Bree Cummins, Justin D. Vrana, Robert C. Moseley, Hamed Eramian, Anastasia Deckard, Pedro Fontanarrosa, Daniel Bryce, Mark Weston, George Zheng, Joshua Nowak, Francis C. Motta, Mohammed Eslami, Kara Layne Johnson, Robert P. Goldman, Chris John Myers, , Steven B. Haase

This paper introduces DART, a DBTL loop for synthetic genetic circuit design, showing that complex circuits can be more robust and reproducible than simpler ones in budding yeast.

Synthetic Biology · Jan 1, 2023Peer-reviewedSynthetic Biology

Computational Prediction of Synthetic Circuit Function Across Growth Conditions

Bree Cummins, Robert C. Moseley, Anastasia Deckard, Mark Weston, George Zheng, Daniel Bryce, Joshua Nowak, Marcio Gameiro, Tomáš Gedeon, Konstantin Mischaikow, Jacob Beal, Tessa Johnson, Matthew W. Vaughn, Niall I. Gaffney, Shweta Gopaulakrishnan, , Steven B. Haase

The paper develops a computational method to predict synthetic circuit robustness across growth conditions and validates it with experimental results in budding yeast.

bioRxiv · Jun 13, 2022 · PreprintSynthetic Biology

Highly-Automated, High-Throughput Replication of Yeast-based Logic Circuit Design Assessments

Robert P. Goldman, Robert C. Moseley, Nicholas Roehner, Bree Cummins, Justin D. Vrana, Katie J. Clowers, Daniel Bryce, Jacob Beal, Matthew DeHaven, Joshua Nowak, Trissha Higa, Vanessa Biggers, Peter Lee, Jeremy P. Hunt, Lorraine Mosqueda, , Lorraine Mosqueda

The paper replicates yeast-based logic circuit design assessments using a high-throughput robotic framework, generating more flow cytometry data than the original study.

Synthetic Biology · Feb 1, 2022Peer-reviewedSynthetic Biology

Prediction of Whole-Cell Transcriptional Response with Machine Learning

Mohammed Eslami, Amin Espah Borujeni, Hamed Eramian, Mark Weston, George Zheng, Joshua A. Urrutia, Carolyn Corbet, Diveena Becker, Paul Maschhoff, Katie J. Clowers, Alexander W. Cristofaro, Hamid Doost Hosseini, David Benjamin Gordon, Yuval Dorfan, Jedediah M. Singer, , Enoch Yeung

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

Bioinformatics · Sep 22, 2021Peer-reviewedBioinformatics