Author

John Luke McConn

University of California San Diego

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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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Approach:machine learning (classical)· 2 Research Focus:dimensionality reduction· 1 Organism:E. coli· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Anand V. SastryiD· 2 shared Bernhard Ørn PalssoniD· 2 shared Cameron R. Lamoureux· 2 shared Daniel Craig ZielinskiiD· 1 shared Katherine DeckeriD· 1 shared Kevin RycheliD· 1 shared Saugat PoudeliD· 1 shared Ye GaoiD· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 24 mutual co-author links

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2 shared papersBioinformatics

Anand V. SastryORCID

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2 papers

Recent·Most cited

Optimal dimensionality selection for independent component analysis of transcriptomic data

John Luke McConn, Cameron R. Lamoureux, Saugat Poudel, Bernhard Ørn Palsson, Anand V. Sastry

This paper introduces OptICA, a method for selecting optimal dimensionality in ICA of transcriptomic data, showing it outperforms existing methods across multiple datasets.

BMC Bioinformatics · Dec 1, 2021Peer-reviewedBioinformatics

A multi-scale transcriptional regulatory network knowledge base for Escherichia coli

Cameron R. Lamoureux, Katherine Decker, Anand V. Sastry, Kevin Rychel, Ye Gao, John Luke McConn, Daniel Craig Zielinski, Bernhard Ørn Palsson

The paper constructs a transcriptional regulatory network for Escherichia coli using machine learning on a large RNA-seq compendium, identifying regulatory modules and novel regulons.

bioRxiv · Apr 8, 2021 · PreprintBioinformatics