Cancer is a disease of subverted regulatory pathways. In this paper, we reconstruct the
regulatory network around E2F, a family of transcription factors whose deregulation has …

Identifying breast cancer patients is crucial to the clinical diagnosis and therapy for this
disease. Conventional gene-based methods for breast cancer diagnosis ignore gene-gene …

The conventional way of characterizing a disease consists of correlating clinical symptoms
with pathological findings. Although this approach for many years has assisted clinicians in …

Network motif is defined as a frequent and unique subgraph pattern in a network, and the
search involves counting all the possible instances or listing all patterns, testing …

Essential proteins are indispensable to support cellular life and constitute a minimal set
required for a living cell. Fast progress in high-throughput technologies and large amount of …

Background A huge amount of associations among different biological entities (eg, disease,
drug, and gene) are scattered in millions of biomedical articles. Systematic analysis of such …

The enormous size of Protein–Protein Interaction (PPI) networks demands efficient
computational methods to extract biologically significant protein complexes. A wide variety of …

Network motif analysis has several applications in many different fields such as biological
study and social network modeling, yet motif detection tools are still limited by the intensive …

Background: Melanoma is a leading cause of cancer death. Thus, accurate prognostic
biomarkers that will assist rational treatment planning need to be identified. Methods …

The reliability and reproducibility of gene biomarkers for classification of cancer patients has
been challenged due to measurement noise and biological heterogeneity among patients …