Author

D. C. Wham

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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Evolutionary Biology· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Assay:imaging· 2 Organism:multiple species· 2 Research Focus:clustering· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

B. D. Ezray· 2 shared H. M. Hines· 2 shared C. Hill· 1 shared

Activity by Year

2019-2019 · peak 2/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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2 shared papersEvolutionary Biology

B. D. Ezray

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2 papers

Recent·Most cited

Measuring Perceptual Distance of Organismal Color Pattern using the Features of Deep Neural Networks

D. C. Wham, B. D. Ezray, H. M. Hines

This paper introduces an unsupervised deep learning workflow to measure perceptual distance in organismal color patterns using existing datasets and artificial examples, achieving biologically relevant results without task-specific training.

bioRxiv · Aug 15, 2019 · PreprintEvolutionary Biology

Müllerian mimicry in bumble bees is a transient continuum

B. D. Ezray, D. C. Wham, C. Hill, H. M. Hines

The paper uses machine learning to analyze color patterns in bumble bees, finding continuous transitions rather than discrete mimicry complexes.

bioRxiv · Jan 8, 2019 · PreprintEvolutionary Biology