Background Coordinated efforts to collect large-scale data sets provide a basis for systems
level understanding of complex diseases. In order to translate these fragmented and …

Cooperative dysregulation of gene sequence and expression may contribute to cancer
formation and progression. The Cancer Genome Atlas (TCGA) Network recently catalogued …

Glioblastoma multiforme (GBM) remains one of the most malignant primary central nervous
system tumors. Personalized therapeutic approaches have not become standard of care for …

A variety of genome-wide profiling techniques are available to investigate complementary
aspects of genome structure and function. Integrative analysis of heterogeneous data …

MicroRNAs (miRNAs) have key roles in breast cancer progression, and their expression
levels are heterogeneous across individual breast cancer patients. Traditional methods aim …

Aim: To identify and study targets of microRNA biomarkers of glioblastoma survival across
events (death and recurrence) and phases (life expectancy or post-diagnostic) using …

Background It has been suggested that, in the human protein-protein interaction network,
changes of co-expression between highly connected proteins (" hub") and their interaction …

Identifying differentially expressed microRNAs (DE miRNAs) between cancer samples and
normal controls is a common way to investigate carcinogenesis mechanisms. However, for a …

The biological interpretation of the complexity of cancer somatic mutation profiles is a major
challenge in current cancer research. It has been suggested that mutations in multiple genes …

Molecular databases and bioinformatics methods and tools are essential for modern cancer
research. Multilevel analyses of all the protein-coding genes, thousands of proteins, and …