A fundamental feature of complex biological systems is the ability to form feedback interactions with their environment. A prominent model for studying such interactions is reservoir computing, where learning acts
Analysis of an initial value problem for an extracellular and intracellular model of hepatitis C virus infection. (arXiv:2011.06085v1 [q-bio.PE])
In this paper, a mathematical analysis of the global dynamics of a viral infection model in vivo is carried out. We study the dynamics of a hepatitis C virus (HCV)
SEIR-Campus: Modeling Infectious Diseases on University Campuses. (arXiv:2011.06124v1 [q-bio.PE])
We introduce a Python package for modeling and studying the spread of infectious diseases using an agent-based SEIR style epidemiological model with a focus on university campuses. This document explains
Hamiltonian Dynamics of Saturated Elongation in Amyloid Fiber Formation. (arXiv:2011.06222v1 [q-bio.QM])
Elongation is a fundament process in amyloid fiber growth, which is normally characterized by a linear relationship between the fiber elongation rate and the monomer concentration. However, in high concentration
Analysis of COVID-19 evolution in Senegal: impact of health care capacity. (arXiv:2011.06278v1 [q-bio.PE])
We consider a compartmental model from which we incorporate a time-dependent health care capacity having a logistic growth. This allows us to take into account the Senegalese authorities response in
Dynamical Analysis of Stochastic COVID-19 Model with Jump-Diffusion. (arXiv:2011.06280v1 [q-bio.PE])
For a stochastic COVID-19 model with jump-diffusion, we prove the existence and uniqueness of the global positive solution of this model. We also investigate some conditions for the extinction and
Learning Inter-Modal Correspondence and Phenotypes from Multi-Modal Electronic Health Records. (arXiv:2011.06301v1 [cs.LG])
Non-negative tensor factorization has been shown a practical solution to automatically discover phenotypes from the electronic health records (EHR) with minimal human supervision. Such methods generally require an input tensor
Dynamic allocation of limited memory resources in reinforcement learning. (arXiv:2011.06387v1 [q-bio.NC])
Biological brains are inherently limited in their capacity to process and store information, but are nevertheless capable of solving complex tasks with apparent ease. Intelligent behavior is related to these
Optimal governance and implementation of vaccination programs to contain the COVID-19 pandemic. (arXiv:2011.06455v1 [cs.GT])
Once a viable vaccine for SARS-CoV-2 has been identified, vaccination uptake will determine our success in containing the COVID-19 pandemic. We argue that game theory and social network models should
Master regulators as order parameters of gene expression states. (arXiv:2011.06478v1 [q-bio.MN])
Cell type-specific gene expression patterns are represented as memory states of a Hopfield neural network model. It is shown that order parameters of this model can be interpreted as concentrations
