A novel Bayesian method of modeling retinotopic maps is more accurate than traditional voxel-wise methods and can be used to automatically derive high-quality maps.

In this ideal example of pharmacogenomics, individuals with a common variant in a gene encoding for an inflammatory lipid mediator benefit selectively from standard-of-care anti-inflammatory treatment used for tuberculous meningitis.

A physics-based, statistically rigorous mathematical model enables automated, objective interpretation of images from single-molecule fluorescence colocalization microscopy experiments.

A Bayesian model of phase angles illustrates a novel approach to the analysis of phase coherence in frequency-tagged experiments.

Bayesian survival analysis reveals comprehensive efficacy profile and mechanism of action for Sanofi-Pasteur’s CYD-TDV dengue vaccine, whereby vaccination acts as a silent, disease-free infection enhancing disease risk in seronegatives, but giving greater immunity in seropositives than two natural infections.

Advanced data analysis of molecular dynamics simulations of complex lipid membranes provides a quantitative and predictive model of the molecular features that control electroporation.

Evidence for neuromodulatory control of flexibility in human neural models.

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.

Chromosomal instability of cancer can be quantitatively measured by phylogenetic analysis of 200 tumor cells while using evolutionary principles to account for cellular selection.

People's confidence in information and their neural correlates in key regions of the social brain are more stable when tracking social advice compared to non-social information.