Since the problem proposed in late 2000s, microRNA–disease association (MDA)
predictions have been implemented based on the data fusion paradigm. Integrating diverse …

Currently, there exist no generally accepted strategies of evaluating computational models
for microRNA-disease associations (MDAs). Though K-fold cross validations and case …

Annotating cell types on the basis of single-cell RNA-seq data is a prerequisite for research
on disease progress and tumour microenvironments. Here we show that existing annotation …

Cellular life depends on a complex web of functional associations between biomolecules.
Among these associations, protein–protein interactions are particularly important due to their …

MicroRNAs (miRNAs) are gene regulators involved in the pathogenesis of complex
diseases such as cancers, and thus serve as potential diagnostic markers and therapeutic …

Network medicine has proven useful for dissecting genetic organization of complex human
diseases. We have previously published HumanNet, an integrated network of human genes …

Objectives Nearly 110 susceptibility loci for rheumatoid arthritis (RA) with modest effect sizes
have been identified by population-based genetic association studies, suggesting a large …

Motivation: In recent years, a growing number of studies have proved that microRNAs
(miRNAs) play significant roles in the development of human complex diseases. Discovering …

Drug discovery and development is a complex and costly process. Machine learning
approaches are being investigated to help improve the effectiveness and speed of multiple …

Co-fractionation/mass spectrometry (CF/MS) enables the map** of endogenous
macromolecular networks on a proteome scale, but current methods are experimentally …