The role of TLR2 in infectious diseases caused by mycobacteria: from cell biology to therapeutic target
Simple Summary Due to the broad functions of Toll-like receptor 2 (TLR2) in innate
immunity, the drive for the development of TLR2-targeted therapeutic treatments has …
immunity, the drive for the development of TLR2-targeted therapeutic treatments has …
Statistical inference for dynamical systems: A review
K McGoff, S Mukherjee, N Pillai - 2015 - projecteuclid.org
The topic of statistical inference for dynamical systems has been studied widely across
several fields. In this survey we focus on methods related to parameter estimation for …
several fields. In this survey we focus on methods related to parameter estimation for …
Heterogeneous CD8+ T Cell Migration in the Lymph Node in the Absence of Inflammation Revealed by Quantitative Migration Analysis
The three-dimensional positions of immune cells can be tracked in live tissues precisely as a
function of time using two-photon microscopy. However, standard methods of analysis used …
function of time using two-photon microscopy. However, standard methods of analysis used …
A novel function of TLR2 and MyD88 in the regulation of leukocyte cell migration behavior during wounding in zebrafish larvae
Toll-like receptor (TLR) signaling via myeloid differentiation factor 88 protein (MyD88) has
been indicated to be involved in the response to wounding. It remains unknown whether the …
been indicated to be involved in the response to wounding. It remains unknown whether the …
Generalized P {\'o} lya Urn for Time-Varying Pitman-Yor Processes
This article introduces a class of first-order stationary time-varying Pitman-Yor processes.
Subsuming our construction of time-varying Dirichlet processes presented in (Caron et al …
Subsuming our construction of time-varying Dirichlet processes presented in (Caron et al …
A tutorial on time-evolving dynamical Bayesian inference
In view of the current availability and variety of measured data, there is an increasing
demand for powerful signal processing tools that can cope successfully with the associated …
demand for powerful signal processing tools that can cope successfully with the associated …
[PDF][PDF] Bayesian dynamic modelling
M West - Bayesian Inference and Markov Chain Monte Carlo: In …, 2013 - stat.duke.edu
Bayesian time series and forecasting is a very broad field and any attempt at other than a
very selective and personal overview of core and recent areas would be foolhardy. This …
very selective and personal overview of core and recent areas would be foolhardy. This …
Bayesian modeling and analysis for gradients in spatiotemporal processes
Stochastic process models are widely employed for analyzing spatiotemporal datasets in
various scientific disciplines including, but not limited to, environmental monitoring …
various scientific disciplines including, but not limited to, environmental monitoring …
Estimation of potential field environments from heterogeneous behaviour of sensing agents
A Kadochnikova, V Kadirkamanathan - IET Signal Processing, 2023 - Wiley Online Library
This paper proposes a novel modelling framework for estimating the global potential field
from trajectories of multiple sensing agents whose perception of the unknown field is subject …
from trajectories of multiple sensing agents whose perception of the unknown field is subject …
Modeling three-dimensional T-cell motility using clustering and hidden Markov models
E Torkashvand - Statistical Methods in Medical Research, 2023 - journals.sagepub.com
Recent advances in imaging technologies now allow for real-time tracking of fast-moving
immune cells as they search for targets such as pathogens and tumor cells through complex …
immune cells as they search for targets such as pathogens and tumor cells through complex …