AI is being used to model gene regulation and predict cellular behavior from transcriptomic data. Learn how these tools aid ...

In this example, we have two groups, each contains 4 sub-categories. In classic pie charts, the angles (and thus arc lengths & sector area) represent the data. The problem is that it is very difficult ...

Graph neural networks (GNNs) have been extensively used for many domains where data are represented as graphs, including social networks, recommender systems, biology, chemistry, etc. Despite ...

The semantic technologies underpinning RDF knowledge graphs are primed for data mesh and data fabric architectures — and their synthesis. They’re certainly ideal for crafting data products.

Extend the Data Catalog Ontology. In the previous example, we focused on a core data catalog ontology. But the world is much more complex than just the core. Data landscapes will have views and stored ...

As graph database adoption accelerates, new data infrastructures will emerge to eliminate many of the scale struggles of graph database models. Written by eWEEK content and product recommendations ...

4 European Molecular Biology Laboratory (EMBL), Genome Biology Unit, Heidelberg, ... Beyond metabolomics data analysis, graph-based metrics have been used more to characterize and compare whole ...

Biologists may have huge amounts of data at their disposal, but they require quantitative approaches to arrive at accurate analyses and interpretations Representative Image. (Getty Images) Kiran ...