88 citations · 258 across the 13 of their papers we have counts for
13 papers
Inferring Density-Dependent Population Dynamics Mechanisms through Rate Disambiguation for Logistic Birth-Death Processes
Linh Huynh, Jacob G. Scott, Peter J. Thomas
Density dependence is important in the ecology and evolution of microbial and cancer cells. Typically, we can only measure net growth rates, but the underlying density-dependent me…
Exploring complex networks with the ICON R package
Raoul R. Wadhwa, Jacob G. Scott
We introduce ICON, an R package that contains 1075 complex network datasets in a standard edgelist format. All provided datasets have associated citations and have been indexed by…
Controlling the speed and trajectory of evolution with counterdiabatic driving
Shamreen Iram, Emily Dolson, Joshua Chiel +8
The pace and unpredictability of evolution are critically relevant in a variety of modern challenges: combating drug resistance in pathogens and cancer, understanding how species r…
A flat persistence diagram for improved visualization of persistent homology
Raoul R. Wadhwa, Andrew Dhawan, Drew F. K. Williamson +1
Visualization in the emerging field of topological data analysis has progressed from persistence barcodes and persistence diagrams to display of two-parameter persistent homology.…
Optimizing adaptive cancer therapy: dynamic programming and evolutionary game theory
Mark Gluzman, Jacob G. Scott, Alexander Vladimirsky
Recent clinical trials have shown that the adaptive drug therapy can be more efficient than a standard MTD-based policy in treatment of cancer patients. The adaptive therapy paradi…
Evolutionary dynamics of incubation periods
Bertrand Ottino-Loffler, Jacob G. Scott, Steven H. Strogatz
The incubation period of a disease is the time between an initiating pathologic event and the onset of symptoms. For typhoid fever, polio, measles, leukemia and many other diseases…
Takeover times for a simple model of network infection
Bertrand Ottino-Löffler, Jacob G. Scott, Steven H. Strogatz
We study a stochastic model of infection spreading on a network. At each time step a node is chosen at random, along with one of its neighbors. If the node is infected and the neig…
Cancer treatment scheduling and dynamic heterogeneity in social dilemmas of tumour acidity and vasculature
Artem Kaznatcheev, Robert Vander Velde, Jacob G. Scott +1
Background: Tumours are diverse ecosystems with persistent heterogeneity in various cancer hallmarks like self-sufficiency of growth factor production for angiogenesis and reprogra…
Edge effects in game theoretic dynamics of spatially structured tumours
Artem Kaznatcheev, Jacob G. Scott, David Basanta
Background: Analysing tumour architecture for metastatic potential usually focuses on phenotypic differences due to cellular morphology or specific genetic mutations, but often ign…
Mathematical modeling of the metastatic process
Jacob G. Scott, Philip Gerlee, David Basanta +3
Mathematical modeling in cancer has been growing in popularity and impact since its inception in 1932. The first theoretical mathematical modeling in cancer research was focused on…
A Markov chain model of evolution in asexually reproducing populations: insight and analytical tractability in the evolutionary process
Daniel Nichol, Peter Jeavons, Robert Bonomo +5
The evolutionary process has been modelled in many ways using both stochastic and deterministic models. We develop an algebraic model of evolution in a population of asexually repr…
Intrinsic cell factors that influence tumourigenicity in cancer stem cells - towards hallmarks of cancer stem cells
Jacob G. Scott, Prakash Chinnaiyan, Alexander R. A. Anderson +2
Since the discovery of a cancer initiating side population in solid tumours, studies focussing on the role of so-called cancer stem cells in cancer initiation and progression have…
A mathematical model of tumor self-seeding reveals secondary metastatic deposits as drivers of primary tumor growth
Jacob G Scott, David Basanta, Alexander R. A. Anderson +1
Two models of circulating tumor cell (CTC) dynamics have been proposed to explain the phenomenon of tumor 'self-seeding', whereby CTCs repopulate the primary tumor and accelerate g…