Author

Alexander R. A. Anderson

Primary ORCID profile (0000-0002-2536-4383 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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

Same name, identified by ORCID

Alexander R. A. AndersoniD1 paper

Biology Disciplines

Click to filter author papers

Cancer Biology· 1 Ecology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:biophysical modeling· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell signaling & trafficking· 1 Approach:deep learning· 1 Research Focus:development & morphogenesis· 1 Research Focus:host-pathogen & immune response· 1 Approach:statistical model· 1

Frequent Co-Authors

Jill A. Gallaher· 1 shared Joel Brown· 1 shared Mark Robertson-Tessi· 1 shared Robert A. Gatenby· 1 shared Robert J. Gillies· 1 shared

Activity by Year

2016-2018 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 4 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

1 shared paperEcology

Jill A. Gallaher

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

EcologybioRxivPreprintFeb 26, 2018

The dynamic tumor ecosystem: how cell turnover and trade-offs affect cancer evolution

Jill A. Gallaher, Joel Brown, Alexander R. A. Anderson

This study uses an agent-based model to show how cell turnover and trait trade-offs influence cancer evolution and phenotypic diversity in tumors.

DOI 10.1101/270900

deep learningstatistical model

𝕏 PostBluesky

Cancer BiologybioRxivPreprintMay 4, 2016

Non-linear tumor-immune interactions arising from spatial metabolic heterogeneity

Mark Robertson-Tessi, Robert J. Gillies, Robert A. Gatenby, Alexander R. A. Anderson

This study uses a hybrid mathematical model to show that immune response to tumors depends on spatial metabolic heterogeneity and varies across tumor growth stages.

DOI 10.1101/038273

biophysical modelinghost-pathogen & immune response

𝕏 PostBluesky