Background With the rapid accumulation of biological datasets, machine learning methods
designed to automate data analysis are urgently needed. In recent years, so-called topic …

Protein function prediction is a major challenge in the field of bioinformatics which aims at
predicting the functions performed by a known protein. Many protein data forms like protein …

The annotation of genomic information is a major challenge in biology and bioinformatics.
Existing databases of known gene functions are incomplete and prone to errors, and the …

Increasingly, human beings are sensors engaging directly with the mobile Internet.
Individuals can now share real-time experiences at an unprecedented scale. Social …

Text is a very important type of data within the biomedical domain. For example, patient
records contain large amounts of text which has been entered in a non-standardized format …

Background Studies on genomic sequences for classification and taxonomic identification
have a leading role in the biomedical field and in the analysis of biodiversity. These studies …

Motivation Most automatic functional annotation methods assign Gene Ontology (GO) terms
to proteins based on annotations of highly similar proteins. We advocate that proteins that …

With the popularization of the Internet and the arrival of the big data era, numerous different
social networks (SNs) have emerged to satisfy users' social needs and offer them rich …

Understanding the functionality of proteins has emerged as a critical problem in recent years
due to significant roles of these macro-molecules in biological mechanisms. However, in …

Gene function annotations are key elements in biology and bioinformatics. A typical
annotation is the association between a gene and a feature term that describes a functional …