Transactions on NanoBioscience

Featured Articles
PhosPred-RF: a novel sequence-based predictor for phosphorylation sites using sequential information only
Many recent efforts have been made for the development of machine learning based methods for fast and accurate phosphorylation site prediction. Currently, a majority of well-performing methods are based on hybrid information to build prediction models, such as evolutionary information,... Read more
Featured Articles
A Framework for Integrating Multiple Biological Networks to Predict MicroRNA-Disease Associations
MicroRNAs have close relationship with human diseases. Therefore, identifying disease related MicroRNAs plays an important role in disease diagnosis, prognosis and therapy. However, designing an effective computational method which can make good use of various biological resources and correctly predict... Read more