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Deep model predictive control of gene expression in thousands of single cells

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.10.28.514305Source: DataRank Database

Deep model predictive control of gene expression in thousands of single cells is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2022). On theSindex it has a DataRank of 0. It has been cited 5 times.

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Open Access5 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (3 grants)OA: greenTopics (30)IDs (PubMed, OpenAlex)

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Open Access

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Authors (3)

Caroline M. Blassick ORCID,Mary J. Dunlop ORCID,Jean‐Baptiste Lugagne ORCID

Live enrichment

PubMed:21097893 OpenAlex:https://openalex.org/W4307747453

National Science Foundation

Grant: 1840990

Graduate Research Fellowship (GRFP)

National Science Foundation

Grant: 2032357

Single-cell feedback, optogenetics, and deep learning to control gene expression in bacteria

National Institutes of Health

Grant: 5R01AI102922-02

Feedback and Noise in a Multiple Antibiotic Resistance Circuit

greenLicense: CC BY

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2022/10/31/2022.10.28.514305.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2022.10.28.514305

repositoryhttps://doi.org/10.1101/2022.10.28.514305

https://doi.org/10.1038/s41467-024-46361-1

Fields of Study

Gene Regulatory Network AnalysisSingle-cell and spatial transcriptomicsCell Image Analysis Techniques0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

OptogeneticsComputer scienceDeep learningExpression (computer science)Artificial intelligenceGene regulatory networkGene expressionModel predictive controlDynamics (music)Machine learningRegulation of gene expressionComputational biologyArtificial neural networkPhenotypeControl (management)GeneBiologyNeuroscienceGeneticsPhysicsScienceQNeural Networks, ComputerArticle