Dimensionality reduction techniques are essential in analyzing large 'omics' datasets in biochemistry and molecular biology. Principal component analysis, t-distributed stochastic neighbor embedding, and uniform manifold approximation and projection are commonly used for data visualization. However, these methods can be challenging for students…

An ongoing challenge of 21st century learning is ensuring everyone has the requisite skills to participate in a digital, knowledge-based economy. Once an anathema to parents and teachers, digital games are increasingly at the forefront of conversations about ways to address student engagement and provoke challenges to media pedagogies. While…