Author

M. Kaspari

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Biology Disciplines

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Ecology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

C. D. Siler· 1 shared J. D. Blair· 1 shared K. deBeurs· 1 shared K. E. Marshall· 1 shared M. D. Weiser· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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1 shared paperEcology

C. D. Siler

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1 paper

Recent·Most cited

Embracing imperfection: machine-assisted invertebrate classification in difficult datasets

J. D. Blair, M. D. Weiser, K. deBeurs, M. Kaspari, C. D. Siler, K. E. Marshall

This paper trains machine learning models to classify terrestrial invertebrates using morphometric data and contextual metadata, achieving 72.7% accuracy at the lowest taxonomic level.

Ecological Informatics · Dec 1, 2022Peer-reviewedEcology