Networks of molecular interactions explain complex biological processes, and all known
information on molecular events is contained in a number of public repositories including the …

The main result of a great deal of the published proteomics studies is a list of identified
proteins, which then needs to be interpreted in relation to the research question and existing …

The abnormal accumulation of fat in the liver is often related either to metabolic risk factors
associated with metabolic syndrome in the absence of alcohol consumption (nonalcoholic …

Background Biological function is greatly dependent on the interactions of proteins with
other proteins and genes. Abstracts from the biomedical literature stored in the NCBI's …

Concept associations can be represented by a network that consists of a set of nodes
representing concepts and a set of edges representing their relationships. Complex …

Background Protein interaction networks (PINs) specific within a particular context contain
crucial information regarding many cellular biological processes. For example, PINs may …

The rapidly growing amount of publicly available information from biomedical research is
readily accessible on the Internet, providing a powerful resource for predictive biomolecular …

Most methods for the interpretation of gene expression profiling experiments rely on the
categorization of genes, as provided by the Gene Ontology (GO) and pathway databases …

Text mining methods can facilitate the generation of biomedical hypotheses by suggesting
novel associations between diseases and genes. Previously, we developed a rare-term …

Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related mortality
worldwide. New insights into the pathogenesis of this lethal disease are urgently needed …