Underrepresented populations are often excluded from genomic studies due in part to a lack
of resources supporting their analyses. The 1000 Genomes Project (1kGP) and Human …

Purpose This paper aims to deal with the selection of the sustainability-oriented Green Lean
Six Sigma (GLS) project for the manufacturing industry in the complex decision-making …

Motivation Principal component analysis (PCA) of genetic data is routinely used to infer
ancestry and control for population structure in various genetic analyses. However …

Motivation Population stratification (PS) is a major confounder in genome-wide association
studies (GWAS) and can lead to false-positive associations. To adjust for PS, principal …

Genome-wide association studies (GWASs) may help inform treatments for infertility, whose
causes remain unknown in many cases. Here we present GWAS meta-analyses across six …

We consider ordinary least squares estimation and variations on least squares estimation
such as penalized (regularized) least squares and spectral shrinkage estimates for …

Principal component analysis continues to be a powerful tool for the dimension reduction of
high-dimensional data. We assume a variance-diverging model and use the high-dimension …

In order to overcome the problems of low precision and long time in the traditional method of
adjusting the accuracy of external dimensions, this paper proposes an adaptive adjusting …

Tourette syndrome (TS) and obsessive-compulsive disorder (OCD) are neuropsychiatric
disorders with onset in childhood affecting 0.6% and 2.3% of people, respectively. TS and …

Over the past decades, biomedical data have grown rapidly both in dimension and in
complexity. Traditional statistical models often lack the power of detecting the nonlinear …