Author

A. James O’Malley

Dartmouth CollegeORCID 0000-0001-8389-6217Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:clustering· 1 Approach:deep learning· 1 Approach:graph neural network· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Joshua LevyiD· 2 shared Brock C. ChristenseniD· 1 shared Carly A. BobakiD· 1 shared Louis Joseph VaickusiD· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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2 shared papersBioinformatics

Joshua LevyORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintNov 2, 2020

Estimating latent positions in social and biological networks using Graph Neural Networks in R with GCN4R

Joshua Levy, Carly A. Bobak, Brock C. Christensen…·A. James O’Malley

The paper introduces GCN4R, an R library for fitting graph neural networks on networks to generate embeddings for network-based tasks like community detection.

1 citation

deep learninggraph neural network

𝕏 PostBluesky

BioinformaticsBMC Medical Research MethodologyPeer-reviewedJun 29, 2020

Don't Dismiss Logistic Regression: The Case for Sensible Extraction of Interactions in the Era of Machine Learning

Joshua Levy, A. James O’Malley

The paper develops a hybrid logistic regression model enhanced by machine learning to improve predictive performance while maintaining interpretability.

110 citationstop 2%

statistical modelmachine learning (classical)

𝕏 PostBluesky