Many studies have been carried out for early diagnosis of complex diseases by finding
accurate and robust biomarkers specific to respective diseases. In particular, recent rapid …

The recognition of Alzheimer's disease (AD) as a heterogeneous disorder that results from
incremental pathological changes in dynamic organismic systems is essential to move …

Network-based computational biology, with the emphasis on biomolecular interactions and
omics-data integration, has had success in drug development and created new directions …

Polypharmacology has emerged as novel means in drug discovery for improving treatment
response in clinical use. However, to really capitalize on the polypharmacological effects of …

Multi-target and combinatorial therapies have been focused for the past several decades.
These approaches achieved considerable therapeutic efficacy by modulating the activities of …

Analysis of gene expression data is widely used in transcriptomic studies to understand
functions of molecules inside a cell and interactions among molecules. Differential co …

Background Studies have identified individual blood biomarkers associated with chronic
obstructive pulmonary disease (COPD) and related phenotypes. However, complex …

This paper deals with the problems of cancer classification and grouped gene selection. The
weighted gene co-expression network on cancer microarray data is employed to identify …

Chronic infections with the hepatitis B virus (HBV) and hepatitis C virus (HCV) are the major
risks of hepatocellular carcinoma (HCC), and great efforts have been made towards the …

Abstract Background Type 1 diabetes (T1D) is a complex disease and harmful to human
health, and most of the existing biomarkers are mainly to measure the disease phenotype …