The rapid identification of respiratory virus outbreaks is needed to enable rational and effective public health interventions. We developed new quantitative approaches for simultaneous ...

Recent studies on integrating multiple omics data highlighted the potential to advance our understanding of the cancer disease process. Computational models based on graph neural networks and ...

In this paper, we propose a multivariate multi-scale incremental entropy (MMIE) method to analyze the complexity of oil-water two-phase flow. Firstly, we verify the feasibility of MMIE by typical time ...

react python go typescript data-driven feature-flags feature-toggles data-analysis ab-testing experiments multivariate-testing dark-launch beta-testing trunk-based-development bucketeer Updated 3 ...