Time-series metabolomics studies can provide insight into the dynamics of disease
development and facilitate the discovery of prospective biomarkers. To improve the …

Hepatocellular carcinoma (HCC) is the major histological form of primary liver cancer. It has
usually reached the disease state once the patient is diagnosed since there are no specific …

Omics techniques develop quickly and have made a great contribution to disease study.
Omics data are usually complex. How to analyze the data and mine important information …

Dynamic metabolomics studies can provide a systematic view of the metabolic trajectory
during disease development and drug treatment and reveal the nature of biological …

Analyzing omics data from a network-based perspective can facilitate biomarker discovery.
To improve disease diagnosis and identify prospective information indicating the onset of …

Objective Gene expression profiling techniques measure the transcription of thousands of
genes in a parallel manner. With more and more hepatocellular carcinoma (HCC) …

Coronary atherosclerosis is one of the major factors causing cardiovascular diseases.
However, identifying the tipping point (predisease state of disease) and detecting early …

Identifying early warning signals of critical transitions during disease progression is a key to
achieving early diagnosis of complex diseases. By exploiting rich information of high …

The establishment of new therapeutic strategies for metabolic syndrome is urgently needed
because metabolic syndrome, which is characterized by several disorders, such as …

ABSTRACT A new model-free method has been developed and termed the landscape
dynamic network biomarker (l-DNB) methodology. The method is based on bifurcation …