Author

C. P. Barnes

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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Cancer Biology· 4 Microbiology· 2

Signature Assays, Organisms & Methods

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Organism:human· 5 Approach:statistical model· 3 Research Focus:cancer & tumor microenvironment· 2 Research Focus:differential expression· 2 Approach:experimental assay· 2 Approach:Bayesian inference· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

A. Sottoriva· 2 shared B. Werner· 2 shared M. J. Williams· 2 shared T. A. Graham· 2 shared A. J. H. Fedorec· 1 shared A. Khan· 1 shared A. Mah· 1 shared A. Manhart· 1 shared

Activity by Year

2019-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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2 shared papersCancer Biology

A. Sottoriva

Mutual co-authors in cluster

Author profile →

6 papers

Recent·Most cited

DeepCNA: an explainable deep learning method for cancer diagnosis and cancer-specific patterns of copy number aberrations

M. A. al-Badri, W. C. Cross, C. P. Barnes

DeepCNA identifies cancer-specific copy number aberrations across 13 cancer types using explainable deep learning for diagnosis and biomarker discovery.

bioRxiv · Mar 8, 2024 · PreprintCancer Biology

Deterministic evolution and stringent selection during pre-neoplasia

K. Karlsson, M. J. Przybilla, E. Kotler, A. Khan, H. Xu, K. Karagyozova, A. Sockell, W. H. Wong, K. Liu, A. Mah, Y.-H. Lo, B. Lu, K. E. Houlahan, Z. Ma, C. J. Suarez, , C. Curtis

This study models pre-neoplasia in human gastric organoids by inactivating TP53, revealing progression to malignant transcriptional programs and clonal dynamics through experimental evolution.

bioRxiv · Apr 9, 2022 · PreprintCancer Biology

Chaos in small microbial communities

B. D. Karkaria, A. Manhart, A. J. H. Fedorec, C. P. Barnes

The paper investigates chaotic dynamics in small synthetic microbial communities and shows how to predict, understand, and control such behavior.

bioRxiv · Sep 6, 2021 · PreprintMicrobiology

Evolutionary dynamics of neoantigens in growing tumours

E. Lakatos, M. J. Williams, R. O. Schenck, W. C. H. Cross, J. Househam, B. Werner, C. Gatenbee, M. Robertson-Tessi, C. P. Barnes, A. R. A. Anderson, A. Sottoriva, T. A. Graham

This study develops a mathematical model of neoantigen evolution in tumors and validates it with colorectal cancer data, showing how negative selection shapes tumor immunogenotype and clonality.

Nature Genetics · Sep 14, 2020Peer-reviewedCancer Biology

Modelling microbiome recovery after antibiotics using a stability landscape framework

L. P. Shaw, H. Bassam, C. P. Barnes, A. S. Walker, N. Klein, F. Balloux

The paper develops a quantitative stability landscape model to analyze microbiome recovery after antibiotics and finds support for long-term state transitions in gut and salivary microbiomes after ciprofloxacin and clindamycin.

bioRxiv · Mar 4, 2019Microbiology

Measuring single cell divisions in human cancers from multi-region sequencing data

B. Werner, J. Case, M. J. Williams, K. Chkhaidze, D. Temko, J. Fernandez-Mateos, G. D. Cresswell, D. Nichol, W. Cross, I. Spiteri, W. Huang, I. Tomlinson, C. P. Barnes, T. A. Graham, A. Sottoriva

This study measures single-cell division rates and survival in human cancers using multi-region sequencing data, revealing per-cell mutation and survival rates across different cancer types and healthy tissues.

bioRxiv · Feb 25, 2019 · PreprintCancer Biology