BACKGROUND We applied a range of genome-wide association (GWA) methods to map quantitative trait loci (QTL) in the simulated dataset provided by the 12th QTLMAS workshop in order to derive an effective strategy. RESULTS A variance component linkage analysis revealed QTLs but with low resolution. Three single-marker based GWA methods were then applied: Transmission Disequilibrium Test and sing...

BACKGROUND A quantitative and a binary trait for the 14th QTLMAS 2010 workshop were simulated under a model which combined additive inheritance, epistasis and imprinting. This paper aimed to compare results submitted by the participants of the workshop. METHODS The results were compared according to three criteria: the success rate (ratio of mapped QTL to the total number of simulated QTL), a...

Cortical thickness and surface area are important morphological measures with implications for many psychiatric and neurological conditions. Automated segmentation and reconstruction of the cortical surface from 3D MRI scans is challenging due to the variable anatomy of the cortex and its highly complex geometry. While many methods exist for this task in the context of the human brain, these me...

Protein temporal dynamics play a critical role in time-dimensional pathophysiological processes, including the gradual cardiac remodeling that occurs in early-stage heart failure. Methods for quantitative assessments of protein kinetics are lacking, and despite knowledge gained from single-protein studies, integrative views of the coordinated behavior of multiple proteins in cardiac remodeling ...

BACKGROUND Genome-wide dense markers have been used to detect genes and estimate relative genetic values. Among many methods, Bayesian techniques have been widely used and shown to be powerful in genome-wide breeding value estimation and association studies. However, computation is known to be intensive under the Bayesian framework, and specifying a prior distribution for each parameter is alwa...

Various continuously-indexed spatio-temporal process models have been constructed to characterize spatio-temporal dependence structures, but the computational complexity for model fitting and predictions grows in a cubic order with the size of dataset and application of such models is not feasible for large datasets. This article extends the full-scale approximation (FSA) approach by Sang and H...

We study the problem of privacy in human mobility data, i.e., the re-identification risk of individuals in a trajectory dataset. We quantify the risk of being re-identified by the metric of uniqueness, the fraction of individuals in the dataset which are uniquely identifiable by a set of spatio-temporal points. We explore a human mobility dataset for more than half a million individuals over a ...

With the increasing of requirements from many aspects, various queries and analyses arise focusing on social network. Queries like finding users, friends or social activities satisfying a certain period gives temporal insights into retrieval or statistics, hence augmenting temporal query capability in such context, temporal social network (TSN), is meaningful. We propose three kinds temporal qu...

TimePrimitive Dataset reference date (M) boundedBy Geographic location of the dataset (by four coordinates or by geographic identifier) (C) AbstractGML Dataset character set (C)GML Dataset character set (C) AbstractGeometry Spatial resolution of the dataset (O)Geometry Spatial resolution of the dataset (O) VerticalDatum, VerticalCS, TemporalCS, TemporalDatum Additional extent information for th...