Author

A. Ives

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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Ecology· 2 Biochemistry· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:ecology & biodiversity· 2 Research Focus:benchmarking· 1 Approach:experimental assay· 1 Research Focus:protein folding & dynamics· 1 Assay:proteomics· 1

Frequent Co-Authors

A. R. McCormick· 1 shared B.-J. Webb-Robertson· 1 shared C. C. Wu· 1 shared D. L. Plubell· 1 shared J. C. Botsch· 1 shared J. S. Phillips· 1 shared L. Bramer· 1 shared L. Käll· 1 shared

Activity by Year

2017-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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1 shared paperEcology

A. R. McCormick

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Author profile →

4 papers

Recent·Most cited

Identifying environmental factors affecting the production of pea aphid dispersal morphs in field populations

M. Bosch, A. Ives

The paper examines environmental factors influencing pea aphid alate production in field populations and finds that aphid abundance, temperature, and host plant maturity are the main predictors.

bioRxiv · Mar 23, 2023Ecology

Can we put Humpty Dumpty back together again? What does protein quantification mean in bottom-up proteomics?

D. L. Plubell, L. Käll, B.-J. Webb-Robertson, L. Bramer, A. Ives, N. L. Kelleher, L. M. Smith, T. J. Montine, C. C. Wu, M. J. MacCoss

The paper questions the assumption that all peptides from a protein coding gene represent the same protein quantity in bottom-up proteomics, highlighting the need for better methods to account for proteomic complexity.

bioRxiv · Jan 25, 2021 · PreprintBiochemistry

Ecosystem engineering alters density-dependent feedbacks in an aquatic insect population

J. S. Phillips, A. R. McCormick, J. C. Botsch, A. Ives

This study shows ecosystem engineering by midges in Lake Myvatn alters density-dependent feedbacks by influencing benthic primary production and adult emergence.

bioRxiv · Jan 12, 2021Ecology

R2s for Correlated Data: Phylogenetic Models, LMMs, and GLMMs

A. Ives

The paper introduces three R2 metrics for models with correlated data, evaluates their performance, and provides an R package for implementation.

bioRxiv · Jul 26, 2017Evolutionary Biology