Author

Myra B. Cohen

Iowa State UniversityORCID 0000-0003-2443-2425Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1 Research Focus:software / tool· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Mikaela CashmaniD· 3 shared Christopher S. HenryiD· 2 shared Robert W. CottinghamiD· 2 shared Zahmeeth SakkaffiD· 2 shared Adam P. ArkiniD· 1 shared Aditya Immaneni· 1 shared Alexis L. MarshiD· 1 shared Andrew FreiburgeriD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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3 shared papersBioinformatics

Mikaela CashmanORCID

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Author profile →

3 papers

Recent·Most cited

Data coherence over data volume drives generalisable genome-based prediction of microbial carbon utilisation

Dileep Kishore, Priya Ranjan, Christopher J. Neely, Mikaela Cashman, Zahmeeth Sakkaff, William J. Riehl, Marcin P. Joachimiak, Janaka N. Edirisinghe, José P. Faria, Pamela B. Weisenhorn, Myra B. Cohen, Dale A. Pelletier, Robert W. Cottingham, Christopher S. Henry, Mitchel J. Doktycz, , Paramvir Dehal

This study shows that filtering genomes based on coherent genotype-phenotype relationships improves cross-dataset prediction of microbial carbon utilisation, outperforming larger but less coherent datasets.

bioRxiv · Aug 12, 2026 · PreprintBioinformatics

A Molecular Communication model for cellular metabolism

Zahmeeth Sakkaff, Andrew Freiburger, Jennie L. Catlett, Mikaela Cashman, Aditya Immaneni, Nicole R. Buan, Myra B. Cohen, Christopher S. Henry, Massimiliano Pierobon

The paper develops a molecular communication model integrating metabolic modeling and information theory to analyze how environmental perturbations affect cellular metabolism.

bioRxiv · Jun 28, 2023 · PreprintBioinformatics

Dissecting Complexity: The Hidden Impact of Application Parameters on Bioinformatics Research

Mikaela Cashman, Myra B. Cohen, Alexis L. Marsh, Robert W. Cottingham

This paper examines the impact of application parameters on bioinformatics tools and proposes a methodology to systematically explore these parameters across different tools and scientific inquiries.

bioRxiv · Dec 20, 2022 · PreprintBioinformatics