iNJclust: Iterative Neighbor-Joining Tree Clustering Framework for Inferring Population Structure.

Understanding genetic differences among populations is one of the most important issues in population genetics. Genetic variations, e.g.

Study of large and highly stratified population datasets by combining iterative pruning principal component analysis and structure.

Background: The ever increasing sizes of population genetic datasets pose great challenges for population structure analysis. The Tracy-Widom (TW) statistical test is widely used for detecting structure. However, it has not been adequately investigated whether the TW statistic is susceptible to type I error, especially in large, complex datasets.

A spatiotemporal framework for MEG/EEG evoked response amplitude and latency variability estimation.

This paper presents a spatiotemporal framework for estimating single-trial response latencies and amplitudes from evoked response magnetoencephalographic/electroencephalographic data. Spatial and temporal bases are employed to capture the aspects of the evoked response that are consistent across trials. Trial amplitudes are assumed independent but have the same underlying normal distribution with unknown mean and variance.

A spatiotemporal framework for estimating trial-to-trial amplitude variation in event-related MEG/EEG.

A spatiotemporal framework for estimating trial-to-trial variability in evoked response (ER) data is presented. Spatial and temporal bases capture the aspects of the response that are consistent across trials, while the basis expansion coefficients represent the variable components of the response. We focus on the simplest case of constant spatiotemporal response shape and varying amplitude across trials.

Cortical patch basis model for spatially extended neural activity.

A new source model for representing spatially distributed neural activity is presented. The signal of interest is modeled as originating from a patch of cortex and is represented using a set of basis functions. Each cortical patch has its own set of bases, which allows representation of arbitrary source activity within the patch.