For analyzing time-dependent patch-clamp or patch-clamp fluorometry data of ion channels in terms of Markovian models, the superiority of Bayesian filtering with respect to traditional deterministic approaches is demonstrated enabling more reliable quantification of the parameters.
Benjamin Amoah, Robert S McCann ... Emanuele Giorgi
Estimating fine-scale spatiotemporal patterns of Plasmodium falciparum transmission showed an association between entomological inoculation rate and parasite prevalence that emphasizes the value of both measures in malaria surveillance.
Robin AA Ince, Angus T Paton ... Philippe G Schyns
Bayesian estimation of the proportion of the population that would show an effect in an experiment provides a broadly applicable alternative to standard null hypothesis tests on the population mean with several advantages.
Modelling analysis reveals the burden of Japanese Encephalitis is greater than previously thought, and although vaccination has reduced burden, there are remaining places with a great need for vaccination.
Pedro J Gonçalves, Jan-Matthis Lueckmann ... Jakob H Macke
Deep neural networks can be trained to automatically find mechanistic models which quantitatively agree with experimental data, providing new opportunities for building and visualizing interpretable models of neural dynamics.
Vibha Kumra Ahnlide, Johannes Kumra Ahnlide ... Pontus Nordenfelt
A method to carefully measure the molecular distance between a site of interest and a reference surface by the repeated acquisition of the two image channels followed by the statistical calculation of the relative difference.
A new method for analyzing continuous psychophysics experiments estimates not only perceptual uncertainty from tracking tasks but also action variability, intrinsic costs, and subjective internal models.
An analysis of Australian case data demonstrates how the combined strategy of border measures, case targeted interventions, and social distancing effectively contained the first epidemic wave of COVID-19.
