Author

Heidi S. Schindel

Oak Ridge National LaboratoryORCID 0000-0002-6019-4869Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Systems Biology· 1

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 1 Assay:bulk RNA-seq· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Adam M. FeistiD· 1 shared Adam M. GussiD· 1 shared Anand V. SastryiD· 1 shared Bernhard Ørn PalssoniD· 1 shared Christopher W. JohnsoniD· 1 shared Gayle J. BentleyiD· 1 shared Gregg T. BeckhamiD· 1 shared Hyun Gyu LimiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperSystems Biology

Adam M. FeistORCID

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1 paper

Recent·Most cited

Machine-learning from Pseudomonas putida transcriptomes reveals its transcriptional regulatory network

Hyun Gyu Lim, Kevin Rychel, Anand V. Sastry, Gayle J. Bentley, Joshua Mueller, Heidi S. Schindel, Peter Emil Larsen, Philip D. Laible, Adam M. Guss, Wei Niu, Christopher W. Johnson, Gregg T. Beckham, Adam M. Feist, Bernhard Ørn Palsson

This study uses machine learning to uncover the genome-scale transcriptional regulatory network in Pseudomonas putida using gene expression data.

Metabolic Engineering · Apr 27, 2022Peer-reviewedSystems Biology