Recent advances in high-throughput technologies have led to the emergence of systems
biology as a holistic science to achieve more precise modeling of complex diseases. Many …

Network inference, which is the reconstruction of biological networks from high-throughput
data, can provide valuable information about the regulation of gene expression in cells …

We report proteogenomic analysis of diffuse gastric cancers (GCs) in young populations.
Phosphoproteome data elucidated signaling pathways associated with somatic mutations …

INTRODUCTION Immune cells constitute an interacting hierarchy that coordinates its
activities according to genetic and environmental contexts. This systemically mobile network …

Availability of large-scale experimental data for cell biology is enabling computational
methods to systematically model the behaviour of cellular networks. This review surveys the …

High-throughput technologies for DNA sequencing and for analyses of transcriptomes,
proteomes and metabolomes have provided the foundations for deciphering the structure …

In this review we give an overview of computational and statistical methods to reconstruct
cellular networks. Although this area of research is vast and fast developing, we show that …

Background Depression is thought to be multifactorial in etiology, including genetic and
environmental components. While a number of gene-environment interaction studies have …

Different experimental technologies measure different aspects of a system and to differing
depth and breadth. High-throughput assays have inherently high false-positive and false …

CD133 is a cancer stem-cell (CSC) marker associated with radioresistance and
chemoresistance in various cancers. In the present study, CD133-expressing liver cancer …