Author

L. E. Wadkin

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· 3 Biophysics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Research Focus:host-pathogen & immune response· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Organism:human· 1

Frequent Co-Authors

A. W. Baggaley· 4 shared N. G. Parker· 4 shared A. Golightly· 3 shared A. Hoppit· 2 shared J. Branson· 2 shared A. Shukurov· 1 shared I. Neganova· 1 shared J. Holden· 1 shared

Activity by Year

2021-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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4 shared papersEcology

A. W. Baggaley

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Author profile →

4 papers

Recent·Most cited

Estimating the reproduction number, R0, from agent-based models of tree disease spread

L. E. Wadkin, J. Holden, R. Ettelaie, M. J. Holmes, J. Smith, A. Golightly, N. G. Parker, A. W. Baggaley

The paper estimates the basic reproduction number R0 for tree diseases using agent-based models and applies these methods to the ash dieback epidemic in the UK.

bioRxiv · Aug 3, 2023 · PreprintEcology

Quantifying invasive pest dynamics through inference of a two-node epidemic network model

L. E. Wadkin, A. Golightly, J. Branson, A. Hoppit, N. G. Parker, A. W. Baggaley

The paper estimates parameters of a two-node epidemic model to analyze the spread of oak processionary moth between two London parks, finding that Richmond Park's infestation drives Bushy Park's.

bioRxiv · Jan 30, 2023 · PreprintEcology

Inference for epidemic models with time varying infection rates: tracking the dynamics of oak processionary moth in the UK

L. E. Wadkin, J. Branson, A. Hoppit, N. G. Parker, A. Golightly, A. W. Baggaley

The paper estimates the infestation rate and basic reproduction number of oak processionary moth using a Bayesian SIR model, finding they have remained constant since 2013.

bioRxiv · Dec 9, 2021Ecology

Spatio-temporal analyses of OCT4 expression and fate transitions in human embryonic stem cells

S. Orozco-Fuentes, L. E. Wadkin, I. Neganova, M. Lako, R. A. Barrio, A. W. Baggaley, A. Shukurov, N. G. Parker

The paper analyzes OCT4 expression dynamics and fate transitions in human embryonic stem cells under BMP4 treatment, showing dynamic expression patterns and clustering behavior.

Physical Biology · Feb 16, 2021Peer-reviewedBiophysics