Molecular interactions are often represented as network models which have become the
common language of many areas of biology. Graphs serve as convenient mathematical …

The cellular phenotype is described by a complex network of molecular interactions.
Elucidating network properties that distinguish disease from the healthy cellular state is …

Inferring networks and dynamics of genes, proteins, cells and other biological entities from
high-throughput biological omics data is a central and challenging issue in computational …

Human papilloma virus (HPV) is a serious threat to human life globally with over 100
genotypes including cancer causing high risk HPVs. Study on protein interaction maps of …

Previous studies have demonstrated that transcription factor-miRNA-gene feed-forward
loops (FFLs) played important roles in tumorigenesis. However, the lncRNA-involved FFLs …

Modern systems biology is already contributing to a radical transformation of molecular life
sciences and biomedicine, and it is expected to have a real impact in the clinical setting in …

Background Breast cancer is a genetically heterogeneous type of cancer that belongs to the
most prevalent types with a high mortality rate. Treatment and prognosis of breast cancer …

Molecular networks represent the interactions and relations of genes/proteins, and also
encode molecular mechanisms of biological processes, development and diseases. Among …

Because of the variety of factors affecting glioma prognosis, prediction of patient survival is
particularly difficult. Protein–protein interaction (PPI) networks have been considered with …

Modeling and predicting biological dynamic systems and simultaneously estimating the
kinetic structural and functional parameters are extremely important in systems and …