With the recent explosion in high-throughput genotyping technology, the amount and quality
of single-nucleotide polymorphism (SNP) data has increased exponentially. Therefore, the …

Simulation studies in population genetics play an important role in helping to better
understand the impact of various evolutionary and demographic scenarios on sequence …

Motivation: Performing experiments with simulated data is an inexpensive approach to
evaluating competing experimental designs and analysis methods in genome-wide …

Importance Genome-wide investigations provide systematic information regarding the
neurobiology of psychiatric disorders. Objective To identify biological pathways that …

Genome-wide association studies (GWAS) focus on finding genetic variations associated
with traits such as major diseases often by measuring associations between single …

As a promising tool for identifying genetic markers underlying phenotypic differences,
genome-wide association study (GWAS) has been extensively investigated in recent years …

Differential privacy (DP) has become widely accepted as a rigorous definition of data
privacy, with stronger privacy guarantees than traditional statistical methods. However …

Traditional statistical methods for the confidentiality protection for statistical databases do not
scale well to deal with GWAS (genome-wide association studies) databases and external …

DNA-inspired online behavioral modeling techniques have been proposed and successfully
applied to a broad range of tasks. In this paper, we investigate the fundamental laws that …

Algebraic statistics exploits the use of algebraic techniques to develop new paradigms and
algorithms for data analysis. The development of computational algebra software provides a …