Author

K. J. Murphy

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 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Research Focus:ecology & biodiversity· 2 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Organism:chicken / avian· 1 Research Focus:differential expression· 1

Frequent Co-Authors

S. Ciuti· 3 shared V. Morera-Pujol· 3 shared A. F. Smith· 1 shared A. Forrest· 1 shared A. Parker· 1 shared A. S. Cazet· 1 shared A. Swarbrick· 1 shared A. W. Byrne· 1 shared

Activity by Year

2020-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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3 shared papersEcology

S. Ciuti

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Predicting forest damage using relative abundance of multiple deer species and national forest inventory data.

C. Brock, V. Morera-Pujol, K. J. Murphy, M. Nieuwenhuis, S. Ciuti

This study predicts forest damage by analyzing deer species abundance and forest inventory data to identify risk scenarios and ecological drivers of damage.

bioRxiv · Aug 17, 2023Ecology

Curbing zoonotic disease spread in multi-host-species systems will require integrating novel data streams and analytical approaches: evidence from a scoping review of bovine tuberculosis

K. Conteddu, H. M. English, A. W. Byrne, B. Amin, L. L. Griffin, P. Kaur, V. Morera-Pujol, K. J. Murphy, M. Salter-Townshend, A. F. Smith, S. Ciuti

This paper reviews bTB research in multi-host systems, identifying gaps in studying human impacts, weather effects, and multi-host dynamics, and suggests integrating data and models for better control.

bioRxiv · May 8, 2023Ecology

Bayesian areal disaggregation regression to predict wildlife distribution and relative density with low-resolution data

K. J. Murphy, S. Ciuti, T. Burkitt, V. Morera-Pujol

This paper applies Bayesian areal disaggregation regression to convert low-resolution wildlife count data into high-resolution distribution models, showing accurate predictions for deer species in Ireland.

bioRxiv · Jan 12, 2023Ecology

Single-cell analysis reveals diverse stromal subsets associated with immune evasion in triple-negative breast cancer

S. Z. Wu, D. L. Roden, C. Wang, H. Holliday, K. Harvey, A. S. Cazet, K. J. Murphy, B. Pereira, G. Al-Eryani, N. Bartonicek, R. Hou, J. R. Torpy, S. Junankar, C.-L. Chan, E. Lam, , A. Swarbrick

This study identifies diverse stromal subsets in TNBC using single-cell RNA-seq and links them to immune evasion mechanisms and therapeutic targets.

bioRxiv · Jun 4, 2020Cancer Biology