Author

Alexander G Fletcher

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Cancer Biology· 2 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Organism:E. coli· 1

Frequent Co-Authors

Jacob G Scott· 2 shared Philip K Maini· 2 shared Alexander R A Anderson· 1 shared Alexander RA Anderson· 1 shared Andrew Dhawan· 1 shared Daniel Nichol· 1 shared Jerome L Paul· 1 shared Peter Jeavons· 1 shared

Activity by Year

2014-2015 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 26 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersEvolutionary Biology

Jacob G Scott

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

A computational modelling approach for deriving biomarkers to predict cancer risk in premalignant disease

Andrew Dhawan, Trevor A Graham, Alexander G Fletcher

This study develops a computational model to evaluate biomarker strategies for predicting cancer risk in premalignant disease, finding that more biopsies and clonal diversity measurements improve prognostication.

bioRxiv · Nov 27, 2015Cancer Biology

Exploiting evolutionary non-commutativity to prevent the emergence of bacterial antibiotic resistance

Daniel Nichol, Peter Jeavons, Alexander G Fletcher, Robert A Bonomo, Philip K Maini, Jerome L Paul, Robert A Gatenby, Alexander RA Anderson, Jacob G Scott

This paper develops a Markov Chain model to analyze antibiotic resistance emergence in E. coli and shows that drug sequencing can probabilistically steer populations away from resistance.

PLOS Computational Biology · Sep 11, 2015Peer-reviewedEvolutionary Biology

A filter-flow perspective of hematogenous metastasis offers a non-genetic paradigm for personalized cancer therapy

Jacob G Scott, Alexander G Fletcher, Philip K Maini, Alexander R A Anderson, Philip Gerlee

This paper proposes a physical network model of CTC flow to predict metastatic patterns and improve staging of oligometastatic disease.

European Journal of Cancer · Nov 1, 2014Peer-reviewedCancer Biology