Microbial network construction is a popular explorative data analysis technique in
microbiome research. Although a large number of microbial network construction tools has …

Microbial networks are an increasingly popular tool to investigate microbial community
structure, as they integrate multiple types of information and may represent systems-level …

Unraveling the drivers controlling community assembly is a central issue in ecology.
Although it is generally accepted that selection, dispersal, diversification and drift are major …

We present a systematic evaluation of state-of-the-art algorithms for inferring gene
regulatory networks from single-cell transcriptional data. As the ground truth for assessing …

The prediction of transcription factor (TF) activities from the gene expression of their targets
(ie, TF regulon) is becoming a widely used approach to characterize the functional status of …

Networks are vital tools for understanding and modeling interactions in complex systems in
science and engineering, and direct and indirect interactions are pervasive in all types of …

While single-cell gene expression experiments present new challenges for data processing,
the cell-to-cell variability observed also reveals statistical relationships that can be used by …

The rapidly expanding field of big data analytics has started to play a pivotal role in the
evolution of healthcare practices and research. It has provided tools to accumulate, manage …

Reconstructing gene regulatory networks from high-throughput data is a long-standing
challenge. Through the Dialogue on Reverse Engineering Assessment and Methods …

Network Medicine applies network science approaches to investigate disease
pathogenesis. Many different analytical methods have been used to infer relevant molecular …