Advances in biological and medical technologies have been providing us explosive
volumes of biological and physiological data, such as medical images …

In the era of big data, transformation of biomedical big data into valuable knowledge has
been one of the most important challenges in bioinformatics. Deep learning has advanced …

This monograph provides an overview of general deep learning methodology and its
applications to a variety of signal and information processing tasks. The application areas …

In this invited paper, my overview material on the same topic as presented in the plenary
overview session of APSIPA-2011 and the tutorial material presented in the same …

RNA-binding proteins (RBPs) play important roles in the post-transcriptional control of
RNAs. Identifying RBP binding sites and characterizing RBP binding preferences are key …

The identification of interactions between compounds and proteins plays an important role in
network pharmacology and drug discovery. However, experimentally identifying compound …

Long noncoding RNAs (lncRNAs) are emerging as a class of important regulators
participating in various biological functions and disease processes. With the widespread …

Given sufficient large protein families, and using a global statistical inference approach, it is
possible to obtain sufficient accuracy in protein residue contact predictions to predict the …

Microarray technology has become an emerging trend in the domain of genetic research in
which many researchers employ to study and investigate the levels of genes' expression in a …

Adverse side effects of drug–drug interactions induced by human cytochrome P450
(CYP450) inhibition is an important consideration in drug discovery. It is highly desirable to …