Recent advances in high-throughput technologies have created exciting opportunities for
systematically investigating the molecular basis of human disease. In addition to a growing …

In the development and treatment of many human diseases, the regulatory roles between
lncRNAs and miRNAs are important, but much remains unknown about them; moreover …

Motivation: With increasing availability of temporal real-world networks, how to efficiently
study these data? One can model a temporal network as a single aggregate static network …

Network alignment (NA) compares networks with the goal of finding a node mapping that
uncovers highly similar (conserved) network regions. Existing NA methods are …

MicroRNAs (miRNAs) have been proved to be targeted by the small molecules recently,
which made using small molecules to target miRNAs become a possible therapy for human …

Simple Summary Predicting the possible associations between drugs and miRNAs would
provide new perspectives on miRNA therapeutics research and drug discovery. However …

MicroRNAs (miRNAs) have been confirmed to be closely related to various human complex
diseases by many experimental studies. It is necessary and valuable to develop powerful …

Given the multifactorial state of autoimmune complex diseases such as multiple sclerosis
(MS), it is not clear if different risk factors act jointly or independently. Despite intensive …

Network-based computational approaches in the prediction of genes that are associated
with diseases are of considerable importance in uncovering the molecular basis of human …

MicroRNAs (miRNAs) are short non-coding RNAs that play important roles in the body and
affect various diseases, including cancers. Controlling miRNAs with small molecules is …