To analyze gene expression data with sophisticated grouping structures and to extract
hidden patterns from such data, feature selection is of critical importance. It is well known …

Motivation New developments in high-throughput genomic technologies have enabled the
measurement of diverse types of omics biomarkers in a cost-efficient and clinically-feasible …

In this era of big data, sets of methodologies and strategies are designed to extract
knowledge from huge volumes of data. However, the cost of where and how to get this …

Background High-throughput technology could generate thousands to millions biomarker
measurements in one experiment. However, results from high throughput analysis are often …

Background Metabolic syndrome has become a major public health challenge worldwide.
The association between metabolic syndrome and DNA methylation is of great research …

With the rapid evolution of high‐throughput technologies, time series/longitudinal high‐
throughput experiments have become possible and affordable. However, the development …

With the fast evolution of high‐throughput technology, longitudinal gene expression
experiments have become affordable and increasingly common in biomedical fields …

Background “Among plausible explanations for a phenomenon, the simplest is the best.”–
Principle of Occam's razor Variable selection problem has been extensively studied in …