Author

Michael B. Mayhew

Lawrence Livermore National LaboratoryORCID 0000-0001-9029-7220Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Assay:electronic health records· 1 Assay:imaging· 1

Frequent Co-Authors

Alexander J. HarteminkiD· 1 shared Ana Mafalda CavaleiroiD· 1 shared Ana Paula SalesiD· 1 shared Brenden K. PeterseniD· 1 shared Diego Borges-RiveraiD· 1 shared Edwin S. IverseniD· 1 shared Jacob BradleyiD· 1 shared John D. Greene· 1 shared

Activity by Year

2017-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperBioinformatics

Alexander J. HarteminkORCID

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJan 16, 2023

Hierarchical Bayesian modeling identifies key considerations in the development of quantitative loop-mediated isothermal amplification assays

Jacob Bradley, Diego Borges-Rivera, Ana Mafalda Cavaleiro, Michael B. Mayhew

The paper develops hierarchical Bayesian models to analyze LAMP amplification data and identifies factors affecting assay resolution using clinical samples and synthetic data.

DOI 10.1101/2023.01.16.524143

humanDNA methylation

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BioinformaticsJournal of Biomedical InformaticsPeer-reviewedDec 2, 2017

Flexible, Cluster-Based Analysis of the Electronic Medical Record of Sepsis with Composite Mixture Models

Michael B. Mayhew, Brenden K. Petersen, Ana Paula Sales…·Todd Wasson

This paper develops a composite mixture model to analyze sepsis EMR data, identifying mortality risk trends and subgroups.

26 citations

humanelectronic health records

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BioinformaticsJournal of The Royal Society InterfacePeer-reviewedFeb 1, 2017

Characterization of Dependencies Between Growth and Division in Budding Yeast

Michael B. Mayhew, Edwin S. Iversen, Alexander J. Hartemink

The paper analyzes growth and division dependencies in budding yeast, finding new inter-cycle correlations and developing a hierarchical model to capture these dependencies.

11 citations

yeastimaging

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